Amazon – ML Compiler Engineer, AWS Neuron, Annapurna Labs – Toronto, ON

Company: Amazon

Location: Toronto, ON

Expected salary:

Job date: Sat, 21 Sep 2024 04:58:13 GMT

Job description: DESCRIPTIONAt AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to cutting edge infrastructure. In order to deliver on that vision, we’ve created innovative software and hardware solutions that make it possible.AWS Neuron is the SDK that optimizes the performance of complex neural net models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloadsThe Neuron SDK consists of a compiler, run-time, and debugger, integrated with Tensorflow, PyTorch, and MXNet. It’s preinstalled in AWS Deep Learning AMIs and Deep Learning Containers for customers to quickly get started with running high performance and cost-effective inference.The Neuron team is hiring senior compiler engineers in order to solve our customers toughest problems.This is an opportunity to work on cutting-edge products at the intersection of machine-learning, high-performance computing, and distributed architectures. You will architect and implement business-critical features, publish cutting-edge research, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We’re inventing. We’re experimenting. It is a very unique learning culture.As a senior deep learning compiler engineer on the Neuron team, you will be a thought leader supporting the development of a compiler targeting AWS Inferentia and Trainum. You will be developing and scaling the compiler to handle the world’s largest ML workloads. You will need to be technically capable, credible and curious in your own right as a trusted AWS Neuron engineer, innovating on behalf of our customers. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams and you will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects. A background in machine learning and AI accelerators is preferred, but not required.AWS Utility Computing (UC) provides product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon’s growing suite of generative AI services and other cutting-edge cloud computing offerings across the AWS portfolio.Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.Explore the product and our history!
https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index.htmlhttps://aws.amazon.com/machine-learning/neuron/https://github.com/aws/aws-neuron-sdkhttps://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-successAbout the team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.About AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating – that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS– 3+ years of non-internship professional software development experience
– 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
– Experience programming with at least one software programming languagePREFERRED QUALIFICATIONS– 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
– Bachelor’s degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.

Amazon – Deep Learning Compiler Engineer , AWS Neuron, Annapurna Labs – Toronto, ON

Company: Amazon

Location: Toronto, ON

Expected salary:

Job date: Sun, 15 Sep 2024 04:06:17 GMT

Job description: DESCRIPTIONDo you love decomposing problems to develop products that impact millions of people around the world? Would you enjoy identifying, defining, and building software solutions that revolutionize how businesses operate?The Annapurna Labs team at Amazon Web Services (AWS) is looking for a Software Development Engineer II to build, deliver, and maintain complex products that delight our customers and raise our performance bar. You’ll design fault-tolerant systems that run at massive scale as we continue to innovate best-in-class services and applications in the AWS Cloud.Annapurna Labs was a startup company acquired by AWS in 2015, and is now fully integrated. If AWS is an infrastructure company, then think Annapurna Labs as the infrastructure provider of AWS. Our org covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. AWS Nitro, ENA, EFA, Graviton and F1 EC2 Instances, AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe, are some of the products we have delivered, over the last few years.At AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to cutting edge infrastructure. In order to deliver on that vision, we’ve created innovative software and hardware solutions that make it possible.AWS Neuron is the SDK that optimizes the performance of complex neural net models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloadsThe Neuron SDK consists of a compiler, run-time, and debugger, integrated with Tensorflow, PyTorch, and MXNet. It’s preinstalled in AWS Deep Learning AMIs and Deep Learning Containers for customers to quickly get started with running high performance and cost-effective inference.The Neuron team is hiring compiler engineers in order to solve our customers toughest problems.This is an opportunity to work on cutting-edge products at the intersection of machine-learning, high-performance computing, and distributed architectures. You will architect and implement business-critical features, publish cutting-edge research, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We’re inventing. We’re experimenting. It is a very unique learning culture.As a deep learning compiler engineer on the Neuron team, you will be a thought leader supporting the development of a compiler targeting AWS Inferentia and Trainum. You will be developing and scaling the compiler to handle the world’s largest ML workloads. You will need to be technically capable, credible and curious in your own right as a trusted AWS Neuron engineer, innovating on behalf of our customers. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams and you will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects. A background in machine learning and AI accelerators is preferred, but not required.Explore the product and our history!
https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index.htmlhttps://aws.amazon.com/machine-learning/neuron/https://github.com/aws/aws-neuron-sdkhttps://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-successKey job responsibilities
Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You’ll bring a passion for innovation, data, search, analytics, and distributed systems. You’ll also:Solve challenging technical problems, often ones not solved before, at every layer of the stack.Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.Build high-quality, highly available, always-on products.Research implementations that deliver the best possible experiences for customers.A day in the life
As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:Build high-impact solutions to deliver to our large customer base.Participate in design discussions, code review, and communicate with internal and external stakeholders.Work cross-functionally to help drive business decisions with your technical input.Work in a startup-like development environment, where you’re always working on the most important stuff.About the team
#1. Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.#2. Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating – that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.#3. Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.#4. Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.#5. Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.#6. Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords engineers options to work in the office every day or in a flexible, hybrid work model near one of our US Amazon offices. Our hybrid models allow you the freedom to work from home whenever in-office collaboration isn’t necessary.BASIC QUALIFICATIONS– 3+ years of non-internship professional software development experience
– 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
– Experience programming with at least one software programming languagePREFERRED QUALIFICATIONS– 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
– Bachelor’s degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.

Amazon – Neuron Compiler Software Engineer, Annapurna ML – Toronto, ON

Company: Amazon

Location: Toronto, ON

Expected salary:

Job date: Thu, 12 Sep 2024 23:01:47 GMT

Job description: DESCRIPTIONAt AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to cutting edge infrastructure. In order to deliver on that vision, we’ve created innovative software and hardware solutions that make it possible.AWS Neuron is the SDK that optimizes the performance of complex neural net models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloads.The Neuron SDK consists of a compiler, run-time, and debugger, integrated with Tensorflow, PyTorch, and MXNet. It is preinstalled in AWS Deep Learning AMIs and Deep Learning Containers for customers to quickly get started with running high performance and cost-effective inference and training.The Neuron team is looking for students interested in learning about and contributing to deep learning compilers to solve our customers toughest problems. As a compiler engineer on the Neuron team, you will be supporting the development of a compiler targeting AWS Inferentia and Trainium – our custom Silicon ML accelerators. This is an opportunity to work on a cutting-edge product where you will implement business-critical features, and be mentored by a brilliant team of experienced engineers.BASIC QUALIFICATIONS– Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design
– Currently enrolled in a Bachelor’s degree program or higher majoring in Computer Science, Computer Engineering, Electrical Engineering or related technical field with anticipated graduation date of May 2025 or later
– Candidates with strong interests and academic qualifications/research focus in two of the following: 1. Knowledge of code generation, compute graph optimization, resource scheduling, 2. Data structure and algorithms, 3. Compiler – Optimizing compilers (internals of LLVM, clang, etc), 4. Machine Learning – Experience with XLA, TVM, MLIR, LLVM, 5. Machine Learning frameworks (PyTorch, JAX) and Machine Learning models
– Available for 3-month internship starting January 2025PREFERRED QUALIFICATIONS– Previous technical internship(s)
– Knowledge code generation, compute graph optimization, resource scheduling
– Experience in optimization mathematics such as linear programming and nonlinear optimizationAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.

Amazon – Neuron Compiler Software Engineer Intern, Annapurna ML – Toronto, ON

Company: Amazon

Location: Toronto, ON

Expected salary:

Job date: Thu, 12 Sep 2024 04:47:38 GMT

Job description: DESCRIPTIONAt AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to cutting edge infrastructure. In order to deliver on that vision, we’ve created innovative software and hardware solutions that make it possible.AWS Neuron is the SDK that optimizes the performance of complex neural net models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloads.The Neuron SDK consists of a compiler, run-time, and debugger, integrated with Tensorflow, PyTorch, and MXNet. It is preinstalled in AWS Deep Learning AMIs and Deep Learning Containers for customers to quickly get started with running high performance and cost-effective inference and training.The Neuron team is looking for students interested in learning about and contributing to deep learning compilers to solve our customers toughest problems. As a compiler engineer on the Neuron team, you will be supporting the development of a compiler targeting AWS Inferentia and Trainium – our custom Silicon ML accelerators. This is an opportunity to work on a cutting-edge product where you will implement business-critical features, and be mentored by a brilliant team of experienced engineers.BASIC QUALIFICATIONS– Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design
– Currently enrolled in a Bachelor’s degree program or higher majoring in Computer Science, Computer Engineering, Electrical Engineering or related technical field with anticipated graduation date on or later than May 2026
– Candidates with strong interests and academic qualifications/research focus in two of the following: 1. Knowledge of code generation, compute graph optimization, resource scheduling, 2. Data structure and algorithms, 3. Compiler – Optimizing compilers (internals of LLVM, clang, etc), 4. Machine Learning – Experience with XLA, TVM, MLIR, LLVM, 5. Machine Learning frameworks (PyTorch, JAX) and Machine Learning models
– Available for 12-month internship starting May 2025PREFERRED QUALIFICATIONS– Previous technical internship(s)
– Knowledge code generation, compute graph optimization, resource scheduling
– Experience in optimization mathematics such as linear programming and nonlinear optimizationAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.

Software Dev Engineer – Compiler, Annapurna Labs – Amazon – Toronto, ON

Company: Amazon

Location: Toronto, ON

Job description: DESCRIPTIONAre you excited about Machine Learning, chip acceleration, compilers, storage, systems or EC2? Are you passionate about delivering high quality services that affect hundreds of thousands of users? We are the dubbed the “secret sauce” behind AWS’s success with development centers in the U.S. and Israel, Annarpuna is at the forefront of innovation by combining cloud scale with the world’s most talented engineers.The Annapurna team hires for multiple disciplines Software and Hardware engineers including but not limited to complier engineer, machine learning engineer, runtime engineer, performance engineer and ML chip accelerator, ASIC, physical designs, SDE in Test. Because of our teams’ breadth of talent, we’ve been able to improve AWS cloud infrastructure in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), in compute with AWS Graviton and F1 EC2 Instances, in machine learning with AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe.Key job responsibilities
Innovating and delivering creative SW Designs to develop new services, solve operational problems, drive improvements in developer velocity, or positively impact operational safety
Writing requirements capturing documents, design documents, integration test plans, and deployment plans
Communicating status and progress of deliverables to schedule, and sharing learnings/ innovations with your team and stakeholdersBASIC QUALIFICATIONS– Currently enrolled in, or completed a Bachelor’s degree program or higher in Computer Science, Computer Engineering, Electrical Engineering or related field
– To qualify, applicants should have earned a Bachelor’s or Master’s degree between April 2023 to September 2024. Possible start dates for this role are between March 2024 to October 2024.
– Programming experience in internship or coursework with programming language such as Python and/or C or C++.Candidates with strong interests and academic qualifications/research focus in two of the following:
– Knowledge of code generation, compute graph optimization, resource scheduling
– Data structure and algorithms
– Compiler – Optimizing compilers (internals of LLVM, clang, etc)
– Machine Learning – Experience with XLA, TVM, MLIR, LLVM
– Deep learning models and algorithms
– Tensorflow, PyTorch, or MxNET frameworksPREFERRED QUALIFICATIONS– Knowledge of code generation, compute graph optimization, resource scheduling
– Previous technical internship(s), if applicable.
– Experience in optimization mathematics such as linear programming and nonlinear optimization.
– Ability to effectively articulate technical challenges and solutions.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.
Annapurna, a development center within AWS, is looking for passionate and talented Software and Hardware engineers to join their team. They are known for combining cloud scale with talented engineers to drive innovation in areas such as chip acceleration, compilers, storage, systems, and EC2. The team is responsible for improving AWS cloud infrastructure with products like AWS Nitro, Graviton, and Neuron. Candidates should have programming experience in languages like Python and C/C++, and knowledge in areas such as compiler optimization, machine learning frameworks, and deep learning models. Annapurna values diversity and inclusion in the workplace and is an equal opportunity employer.
Job Description:

We are looking for a reliable and enthusiastic Receptionist to join our team. The ideal candidate will have excellent communication skills and a friendly demeanor. In this role, you will be responsible for greeting visitors, answering phones, and providing general administrative support to the office.

Responsibilities:
– Greet visitors in a professional and friendly manner
– Answer and direct phone calls
– Provide administrative support, such as filing and data entry
– Manage office supplies and inventory
– Assist with scheduling appointments and meetings
– Handle incoming and outgoing mail
– Maintain a clean and organized reception area

Qualifications:
– High school diploma or equivalent
– Previous experience in a receptionist or administrative role is preferred
– Strong communication and interpersonal skills
– Proficient in Microsoft Office Suite
– Ability to multitask and prioritize tasks
– Excellent organizational skills

If you are a motivated individual with excellent communication skills and a positive attitude, we would love to hear from you. Apply now to join our team!

Expected salary:

Job date: Thu, 08 Aug 2024 06:42:51 GMT

Software Engineer II, ML Tools, Annapurna Labs – Amazon – Toronto, ON



Company: Amazon

Location: Toronto, ON

Job description: DESCRIPTIONAnnapurna Labs was a startup company acquired by AWS in 2015, and is now fully integrated. If AWS is an infrastructure company, then think Annapurna Labs as the infrastructure provider of AWS. Our org covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. AWS Nitro, ENA, EFA, Graviton and F1 EC2 Instances, AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe, are some of the products we have delivered, over the last few years.AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. This position is for a Software Engineer that will lead the development of machine learning tools to run, optimize, and analyze machine learning workloads. This candidate must have had experience leading machine learning tool projects, preferably starting from architecture through several generations of delivery to customers. Deep knowledge of profiling and optimization, resource management, scheduling, code generation are needed. The ideal candidate will have worked on new instruction set architectures, which may include CPU, NPU, GPU and other forms of compute.Key job responsibilities
This engineer will lead the design and implementation of this new toolset, will work with developers, system architects, hardware engineers and users both within and external to Amazon to ensure compatibility of this new toolset with existing and next-generation AI accelerators.A day in the life
As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:Build high-impact solutions to deliver to our large customer base.
Participate in design discussions, code review, and communicate with internal and external stakeholders.
Work cross-functionally to help drive business decisions with your technical input.
Work in a startup-like development environment, where you’re always working on the most important stuff.About the team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.About AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating – that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our US Amazon offices. Our hybrid models allow you the freedom to work from home whenever in-office collaboration isn’t necessary.BASIC QUALIFICATIONS– 3+ years of non-internship professional software development experience
– 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
– Experience programming with at least one software programming languagePREFERRED QUALIFICATIONS– 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
– Bachelor’s degree in computer science or equivalent
– Experience taking a leading role in building complex software systems that have been successfully delivered to customers
– Strong proficiency in Go, Python, and Javascript/Typescript.
– Application and kernel performance profiling and optimization
– Proficiency in integrated software/hardware performance analysis and optimizationAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.
Annapurna Labs, a company acquired by AWS in 2015, is now fully integrated and provides infrastructure for AWS. They have developed products such as AWS Neuron, Inferentia, and Trainium ML Accelerators. They are looking for a Software Engineer to lead machine learning tool projects. The ideal candidate will have experience in profiling, optimization, resource management, and code generation. The job responsibilities include working with developers, architects, and hardware engineers to ensure compatibility with AI accelerators. AWS values diverse experiences and encourages candidates to apply even if they do not meet all qualifications. They offer mentorship, career growth opportunities, work/life balance, and a hybrid work model near US Amazon offices. Basic qualifications include 3+ years of professional software development experience and proficiency in at least one programming language, while preferred qualifications include experience in building complex software systems successfully delivered to customers, and proficiency in Go, Python, and Javascript/Typescript.
Job Description

Position: Customer Service Representative

Location: Los Angeles, CA

We are looking for a Customer Service Representative to join our team. The primary responsibilities of the Customer Service Representative include managing incoming calls, responding to customer inquiries, resolving customer complaints, and providing information about products and services. The ideal candidate will have excellent communication skills, be able to multitask, and have a positive attitude.

Responsibilities:
– Manage incoming calls and respond to customer inquiries
– Resolve customer complaints in a professional manner
– Provide information about products and services
– Update customer accounts and records
– Maintain a positive and professional attitude at all times

Requirements:
– High school diploma or equivalent
– Previous customer service experience preferred
– Excellent communication skills
– Ability to multitask and prioritize tasks
– Proficient in Microsoft Office
– Strong attention to detail

If you are a motivated individual with a passion for providing excellent customer service, we would love to hear from you. Apply now to join our team!

Expected salary:

Job date: Mon, 22 Jul 2024 23:47:08 GMT

Deep Learning Compiler Engineer II, AWS Neuron, Annapurna Labs – Amazon – Toronto, ON



Company: Amazon

Location: Toronto, ON

Job description: DESCRIPTIONDo you love decomposing problems to develop products that impact millions of people around the world? Would you enjoy identifying, defining, and building software solutions that revolutionize how businesses operate?The Annapurna Labs team at Amazon Web Services (AWS) is looking for a Software Development Engineer II to build, deliver, and maintain complex products that delight our customers and raise our performance bar. You’ll design fault-tolerant systems that run at massive scale as we continue to innovate best-in-class services and applications in the AWS Cloud.Annapurna Labs was a startup company acquired by AWS in 2015, and is now fully integrated. If AWS is an infrastructure company, then think Annapurna Labs as the infrastructure provider of AWS. Our org covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. AWS Nitro, ENA, EFA, Graviton and F1 EC2 Instances, AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe, are some of the products we have delivered, over the last few years.At AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to cutting edge infrastructure. In order to deliver on that vision, we’ve created innovative software and hardware solutions that make it possible.AWS Neuron is the SDK that optimizes the performance of complex neural net models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloadsThe Neuron SDK consists of a compiler, run-time, and debugger, integrated with Tensorflow, PyTorch, and MXNet. It’s preinstalled in AWS Deep Learning AMIs and Deep Learning Containers for customers to quickly get started with running high performance and cost-effective inference.The Neuron team is hiring compiler engineers in order to solve our customers toughest problems.This is an opportunity to work on cutting-edge products at the intersection of machine-learning, high-performance computing, and distributed architectures. You will architect and implement business-critical features, publish cutting-edge research, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We’re inventing. We’re experimenting. It is a very unique learning culture.As a deep learning compiler engineer on the Neuron team, you will be a thought leader supporting the development of a compiler targeting AWS Inferentia and Trainum. You will be developing and scaling the compiler to handle the world’s largest ML workloads. You will need to be technically capable, credible and curious in your own right as a trusted AWS Neuron engineer, innovating on behalf of our customers. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams and you will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects. A background in machine learning and AI accelerators is preferred, but not required.Explore the product and our history!
https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index.htmlhttps://aws.amazon.com/machine-learning/neuron/https://github.com/aws/aws-neuron-sdkhttps://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-successKey job responsibilities
Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You’ll bring a passion for innovation, data, search, analytics, and distributed systems. You’ll also:Solve challenging technical problems, often ones not solved before, at every layer of the stack.Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.Build high-quality, highly available, always-on products.Research implementations that deliver the best possible experiences for customers.A day in the life
As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:Build high-impact solutions to deliver to our large customer base.Participate in design discussions, code review, and communicate with internal and external stakeholders.Work cross-functionally to help drive business decisions with your technical input.Work in a startup-like development environment, where you’re always working on the most important stuff.About the team
#1. Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.#2. Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating – that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.#3. Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.#4. Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.#5. Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.#6. Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords engineers options to work in the office every day or in a flexible, hybrid work model near one of our US Amazon offices. Our hybrid models allow you the freedom to work from home whenever in-office collaboration isn’t necessary.BASIC QUALIFICATIONS– 3+ years of non-internship professional software development experience
– 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
– Experience programming with at least one software programming languagePREFERRED QUALIFICATIONS– 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
– Bachelor’s degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.
The Annapurna Labs team at Amazon Web Services (AWS) is looking for a Software Development Engineer II to build, deliver, and maintain complex products that revolutionize how businesses operate. They are focused on developing innovative software and hardware solutions in the AWS Cloud, with a specific focus on deep learning technologies. The team values work-life balance, mentorship, and career growth, and offers a flexible, hybrid work model. The ideal candidate should have at least 3+ years of professional software development experience and familiarity with design patterns, reliability, and scaling.
JOB DESCRIPTION

We are currently seeking a detail-oriented and organized individual to join our team as a Administrative Assistant. In this role, you will provide administrative support to our team and help manage day-to-day office operations.

Responsibilities:
– Answering and directing phone calls
– Managing office supplies and equipment
– Scheduling appointments and meetings
– Assisting with data entry and document preparation
– Providing general administrative support to team members

Qualifications:
– High school diploma or equivalent
– 2+ years of administrative experience
– Proficient in Microsoft Office Suite
– Excellent communication and organizational skills
– Ability to work independently and prioritize tasks

If you are a self-motivated and proactive individual with strong administrative skills, we would love to hear from you. Apply now to join our team!

Expected salary:

Job date: Fri, 12 Jul 2024 22:39:54 GMT

Sr. Deep Learning Compiler Engineer III, AWS Neuron, Annapurna Labs – Amazon – Toronto, ON



Company: Amazon

Location: Toronto, ON

Job description: DESCRIPTIONDo you love decomposing problems to develop products that impact millions of people around the world? Would you enjoy identifying, defining, and building software solutions that revolutionize how businesses operate?The Annapurna Labs team at Amazon Web Services (AWS) is looking for a Senior Software Development Engineer to build, deliver, and maintain complex products that delight our customers and raise our performance bar. You’ll design fault-tolerant systems that run at massive scale as we continue to innovate best-in-class services and applications in the AWS Cloud.At Annapurna Labs our vision is to make deep learning pervasive for everyday developers and to democratize access to cutting edge infrastructure. In order to deliver on that vision, we’ve created innovative software and hardware solutions that make it possible.AWS Neuron is the SDK that optimizes the performance of complex neural net models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloadsThe Neuron SDK consists of a compiler, run-time, and debugger, integrated with Tensorflow, PyTorch, and MXNet. It’s preinstalled in AWS Deep Learning AMIs and Deep Learning Containers for customers to quickly get started with running high performance and cost-effective inference.The Neuron team is hiring senior compiler engineers in order to solve our customers toughest problems.This is an opportunity to work on cutting-edge products at the intersection of machine-learning, high-performance computing, and distributed architectures. You will architect and implement business-critical features, publish cutting-edge research, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We’re inventing. We’re experimenting. It is a very unique learning culture.As a senior deep learning compiler engineer on the Neuron team, you will be a thought leader supporting the development of a compiler targeting AWS Inferentia and Trainum. You will be developing and scaling the compiler to handle the world’s largest ML workloads. You will need to be technically capable, credible and curious in your own right as a trusted AWS Neuron engineer, innovating on behalf of our customers. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams and you will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects. A background in machine learning and AI accelerators is preferred, but not required.Explore the product and our history!
https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index.htmlhttps://aws.amazon.com/machine-learning/neuron/https://github.com/aws/aws-neuron-sdkhttps://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-successKey job responsibilities
Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You’ll bring a passion for innovation, data, search, analytics, and distributed systems. You’ll also:Solve challenging technical problems, often ones not solved before, at every layer of the stack.Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.Build high-quality, highly available, always-on products.Research implementations that deliver the best possible experiences for customers.A day in the life
As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:Build high-impact solutions to deliver to our large customer base.Participate in design discussions, code review, and communicate with internal and external stakeholders.Work cross-functionally to help drive business decisions with your technical input.Work in a startup-like development environment, where you’re always working on the most important stuff.About the team
#1. Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating – that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.#2. Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.#3. Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.#4. Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.#5. Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONS– 5+ years of non-internship professional software development experience
– 5+ years of programming with at least one software programming language experience
– 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
– Experience as a mentor, tech lead or leading an engineering teamPREFERRED QUALIFICATIONS– 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
– Bachelor’s degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.
The Annapurna Labs team at Amazon Web Services is seeking a Senior Software Development Engineer to design fault-tolerant systems that run at massive scale and revolutionize how businesses operate. The team’s vision is to make deep learning pervasive and democratize access to cutting-edge infrastructure through innovative software and hardware solutions like AWS Neuron. They are looking for experienced compiler engineers to work on cutting-edge products and collaborate across diverse teams to solve challenging technical problems. AWS offers a diverse and inclusive team culture, work/life balance, mentorship, and career growth opportunities for individuals with a passion for innovation and software development.
Job Description:

Our company is looking for a reliable and organized Receptionist to manage our front desk and perform a variety of administrative and clerical tasks. The ideal candidate will have excellent communication and interpersonal skills, as well as the ability to multi-task and prioritize in a fast-paced environment.

Responsibilities:
– Greet and assist visitors, answer and direct phone calls
– Maintain and organize office files and records
– Perform data entry, typing, and other administrative duties as needed
– Coordinate incoming and outgoing mail and deliveries
– Assist with scheduling appointments and meetings
– Handle inquiries and requests from clients and employees

Qualifications:
– High school diploma or equivalent
– Previous experience in a receptionist or administrative role preferred
– Proficient in Microsoft Office Suite (Word, Excel, Outlook)
– Excellent communication and customer service skills
– Ability to prioritize and manage multiple tasks efficiently

If you meet the qualifications and are interested in joining our team, please apply online today. We look forward to hearing from you!

Expected salary:

Job date: Fri, 12 Jul 2024 03:34:38 GMT

Software Dev Engineer , Annapurna Labs – Amazon – Toronto, ON



Company: Amazon

Location: Toronto, ON

Job description: DESCRIPTION“We’re on the lookout for the curious, those who think big and want to define the world of tomorrow. At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth. How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow.
Do you want to solve business challenges through innovative technology? Do you enjoy working on cutting-edge, scalable services technology in a team environment? Do you like working on industry-defining projects that move the needle?
At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our Software Development Engineers (SDEs) use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand.”Key job responsibilities
“• Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.

  • Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.
  • Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
  • Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
  • Design and code the right solutions starting with broadly defined problems.
  • Work in an agile environment to deliver high-quality software.”

A day in the life
The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years.BASIC QUALIFICATIONS“• Currently enrolled in or completed a Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or majors relating to these fields

  • To qualify, applicants should have earned a Bachelor’s or Master’s degree between April 2022 to September 2024. Possible start dates for this role are between February 2024 to October 2024.
  • Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design”

PREFERRED QUALIFICATIONS“• Previous technical internship(s), if applicable.

  • Experience with distributed, multi-tiered systems, algorithms, and relational databases.
  • Experience in optimization mathematics such as linear programming and nonlinear optimization.
  • Ability to effectively articulate technical challenges and solutions.
  • Adept at handling ambiguous or undefined problems as well as ability to think abstractly.”

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.
Amazon is seeking curious and innovative individuals to join their team of Software Development Engineers. The role involves collaborating with experienced professionals to design and build cutting-edge technologies, creating solutions for distributed computing environments, and working on industry-defining projects. Candidates should have a Bachelor’s or Master’s degree in a relevant field and programming experience in languages such as Java, C++, or C#. Previous technical internships and experience with distributed systems and relational databases are preferred. Amazon promotes a diverse and inclusive workplace and is an equal opportunity employer.
The job description on the website is for a Technical Support Specialist position. The responsibilities include providing technical assistance and support to customers with questions or issues regarding their product or service. This includes troubleshooting, identifying solutions, and guiding customers through the problem-solving process. The ideal candidate will have excellent communication skills, experience with technical support, and a strong understanding of customer service principles. Additionally, candidates should have the ability to work independently and collaborate with team members to resolve customer issues efficiently.

Expected salary:

Job date: Tue, 25 Jun 2024 22:47:28 GMT

Deep Learning Compiler Engineer II, AWS Neuron, Annapurna Labs – Amazon – Toronto, ON



Company: Amazon

Location: Toronto, ON

Job description: DESCRIPTIONDo you love decomposing problems to develop products that impact millions of people around the world? Would you enjoy identifying, defining, and building software solutions that revolutionize how businesses operate?The Annapurna Labs team at Amazon Web Services (AWS) is looking for a Software Development Engineer II to build, deliver, and maintain complex products that delight our customers and raise our performance bar. You’ll design fault-tolerant systems that run at massive scale as we continue to innovate best-in-class services and applications in the AWS Cloud.Annapurna Labs was a startup company acquired by AWS in 2015, and is now fully integrated. If AWS is an infrastructure company, then think Annapurna Labs as the infrastructure provider of AWS. Our org covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. AWS Nitro, ENA, EFA, Graviton and F1 EC2 Instances, AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe, are some of the products we have delivered, over the last few years.At AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to cutting edge infrastructure. In order to deliver on that vision, we’ve created innovative software and hardware solutions that make it possible.AWS Neuron is the SDK that optimizes the performance of complex neural net models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloadsThe Neuron SDK consists of a compiler, run-time, and debugger, integrated with Tensorflow, PyTorch, and MXNet. It’s preinstalled in AWS Deep Learning AMIs and Deep Learning Containers for customers to quickly get started with running high performance and cost-effective inference.The Neuron team is hiring compiler engineers in order to solve our customers toughest problems.This is an opportunity to work on cutting-edge products at the intersection of machine-learning, high-performance computing, and distributed architectures. You will architect and implement business-critical features, publish cutting-edge research, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We’re inventing. We’re experimenting. It is a very unique learning culture.As a deep learning compiler engineer on the Neuron team, you will be a thought leader supporting the development of a compiler targeting AWS Inferentia and Trainum. You will be developing and scaling the compiler to handle the world’s largest ML workloads. You will need to be technically capable, credible and curious in your own right as a trusted AWS Neuron engineer, innovating on behalf of our customers. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams and you will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects. A background in machine learning and AI accelerators is preferred, but not required.Explore the product and our history!
https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index.htmlhttps://aws.amazon.com/machine-learning/neuron/https://github.com/aws/aws-neuron-sdkhttps://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-successKey job responsibilities
Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You’ll bring a passion for innovation, data, search, analytics, and distributed systems. You’ll also:Solve challenging technical problems, often ones not solved before, at every layer of the stack.Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.Build high-quality, highly available, always-on products.Research implementations that deliver the best possible experiences for customers.A day in the life
As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:Build high-impact solutions to deliver to our large customer base.Participate in design discussions, code review, and communicate with internal and external stakeholders.Work cross-functionally to help drive business decisions with your technical input.Work in a startup-like development environment, where you’re always working on the most important stuff.About the team
#1. Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.#2. Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating – that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.#3. Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.#4. Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.#5. Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.#6. Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords engineers options to work in the office every day or in a flexible, hybrid work model near one of our US Amazon offices. Our hybrid models allow you the freedom to work from home whenever in-office collaboration isn’t necessary.We are open to hiring candidates to work out of one of the following locations:Toronto, ON, CANBASIC QUALIFICATIONS– 3+ years of non-internship professional software development experience
– 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
– Experience programming with at least one software programming languagePREFERRED QUALIFICATIONS– 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
– Bachelor’s degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.
The Annapurna Labs team at Amazon Web Services (AWS) is seeking a Software Development Engineer II to work on cutting-edge products at the intersection of machine-learning, high-performance computing, and distributed architectures. The team is responsible for developing innovative software and hardware solutions, including AWS Neuron, a software development kit that optimizes neural network models on custom chips, Inferentia and Trainium. The ideal candidate should have a background in machine learning and AI accelerators, and will be involved in compiler development targeting AWS Inferentia and Trainum. The role involves solving complex technical problems, designing, implementing, and maintaining software solutions, and collaborating with diverse teams across various projects. AWS values diverse experiences and offers a supportive mentorship and career growth environment. The company also prioritizes work-life balance and offers flexibility in working arrangements.
Job Description

We are looking for a capable and confident individual to join our team as a Data Analyst. The ideal candidate will be responsible for collecting, analyzing, and interpreting data to help drive business decisions. The role will involve working closely with various departments to understand data requirements and deliver insights that will support strategic decision-making.

Responsibilities:
– Collect and compile data from various sources
– Analyze data using statistical methods
– Interpret data to identify trends and patterns
– Collaborate with team members to develop data-driven solutions
– Prepare reports and presentations to communicate findings
– Stay up-to-date on industry trends and best practices in data analysis

Qualifications:
– Bachelor’s degree in Data Science, Statistics, or a related field
– Proven experience in data analysis
– Proficiency in statistical analysis tools
– Strong communication and presentation skills
– Ability to work independently and as part of a team
– Attention to detail and accuracy

If you have a passion for data and a desire to make a positive impact in a dynamic work environment, we encourage you to apply for this exciting opportunity.

Expected salary:

Job date: Sat, 04 May 2024 22:19:00 GMT