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

Company: Amazon

Location: Toronto, ON

Expected salary:

Job date: Fri, 24 Jan 2025 03:00:46 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 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.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Autodesk – Intern, Deep Learning for Engineering Design – Toronto, ON

Company: Autodesk

Location: Toronto, ON

Expected salary:

Job date: Thu, 21 Nov 2024 07:27:45 GMT

Job description: Job Requisition ID #24WD83625Position OverviewAutodesk Research is looking for a passionate and skilled graduate research intern for summer 2025 at our Toronto office located in the MaRS Discovery District.The ideal intern will work on solving a complex engineering design problem using deep generative AI models. We are interested in investigating various deep learning techniques such as Transformers, LSTMs, Diffusion models, Autoencoders, Graph Neural Nets, Deep Reinforcement Learning (RLxF), etc.The candidate should have experience in developing one or
more of those models and applying them to solve a problem of interest.ResponsibilitiesConduct original research in developing, extending, and/or applying deep learning methods for solving an engineering design problemArchitect and implement a data generation and model training/testing pipelinePublish the outcome at a top-tier AI conferenceCreate a prototype/demo to showcase the solution and present the results to internal audiencesMinimum QualificationsCurrently pursuing a PhD degree in Computer Science, Mathematics, Physics, Computer and Electrical Engineering, Mechanical and Industrial Engineering, Aerospace Science and Engineering, Civil Engineering, or other related disciplinesExceptional Master’s degree candidates will also be consideredDemonstrated success in solving difficult problems with deep learning methods (e.g., publication at top-tier conferences)Experience working with PyTorch and other data science and machine learning libraries in PythonExcellent knowledge of the latest research in the domain of expertiseExperience in synthetic dataset generation would be a plusExperience in engineering design would be a plusLearn MoreAbout Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!Salary transparencySalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience, educational level, and geographic location.Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here:

Qualcomm – FY25 Intern – Deep Learning Research Internship – Canada (4 months) – Markham, ON

Company: Qualcomm

Location: Markham, ON

Expected salary:

Job date: Thu, 07 Nov 2024 07:36:12 GMT

Job description: Job Description:Company: Qualcomm Canada ULCJob Area: Interns Group, Interns Group
Interim Engineering Intern – HWQualcomm Overview:Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age – and this is where you come in.General Summary:Be part of a team exploring “System-2” reasoning and cognition in neural networks. We are investigating novel approaches, based on language models, to allow a neural network to engage in multi-modal, step-by-step thinking and interactions.Projects:System-2 deep learning / Neural reasoningProgramming Languages:PythonMinimum Qualification:PytorchDeep understanding of neural networks, back-propExperience with auto-regressive language models (such as GPT)Experience with publishing research papers a plusEducational Requirements:In study towards MSc or PhD (preferred) in Computer Science, Computer EngineeringApplicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm’s toll-free number found . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.If you would like more information about this role, please contact .

Qualcomm – FY25 Intern – Deep Learning Research Internship – Canada (4 months) – Markham, ON

Company: Qualcomm

Location: Markham, ON

Expected salary:

Job date: Thu, 07 Nov 2024 01:28:20 GMT

Job description: Job Description:Company: Qualcomm Canada ULCJob Area: Interns Group, Interns Group
Interim Engineering Intern – HWQualcomm Overview:Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age – and this is where you come in.General Summary:Deep Learning Research Internship (4 months Summer 2024)Before there were smartphones or smart cities, before autonomous cars or 360° virtual reality videos, there was our technology. Headquartered in San Diego, for over 30 years Qualcomm inventions have inspired others to make the impossible, possible. From 5G to artificial intelligence, from IoT to automotive and extended reality applications, Qualcomm is inventing the technologies of an intelligently connected future, spearheading research efforts for the next global wireless standard, and collaborating with industry leaders in the wireless value chain to make this future a commercial reality.In the rapidly evolving field of 2D generative modeling, significant advancements are continually reshaping our capabilities in image synthesis and manipulation. This internship focuses on leveraging these advancements, particularly in 2D diffusion models [1, 2], to explore efficient generative approaches, such as few-step distillation [3, 4], and extend research into adjacent tasks like image editing, super-resolution, restoration, and outcropping [5, 6, 7, 8]. Another potential direction is the exploration of text-to-3D asset generation [9, 10].Responsibilities:Research and develop innovative approaches in 2D diffusion models for generative modeling.Extend research to adjacent tasks, such as super-resolution and image restoration, with a potential exploration into text-to-3D asset generation.Explore and implement more efficient techniques to enhance the performance of generative models, focusing on computational efficiency.Conduct implementation of baselines for comparative evaluation on benchmarks, along with thorough ablation studies.The research conducted in this internship is aimed at advancing the field of 2D generative modeling, with the expectation of contributing to paper submissions at top-tier conferences in the field.[1] High-Resolution Image Synthesis with Latent Diffusion Models,
[2] SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers,
[3] Consistency Models,
[4] Adversarial Diffusion Distillation,[5] Palette: Image-to-Image Diffusion Models,[6] SPIRE: Semantic Prompt-Driven Image Restoration:[7] Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild,
[8] InstructPix2Pix: Learning to Follow Image Editing Instructions,
[9] DreamFusion: Text-to-3D using 2D Diffusion,
[10] Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model,Programming Languages:PythonMinimum Qualification:PytorchNeural network architecture development and evaluationComputer VisionEducational Requirements:In study towards a Masters or PhD in the following:Computer Science, Computer EngineeringLooking 1 Summer Co-op (May – August)Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm’s toll-free number found . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.If you would like more information about this role, please contact .

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.

WSP – Project Coordinator – Deep River, ON

Company: WSP

Location: Deep River, ON

Job description: Job Description: The Opportunity: Join us as a Project Coordinator, where you’ll be the go-to person for getting… Disposal (NSDF) Project in Chalk River. The NSDF project represents a 5-year build of the low-level waste repository in Chalk…
The job opportunity is for a Project Coordinator who will be responsible for overseeing and managing the National Secure Disposal Facility (NSDF) Project in Chalk River. This project involves a 5-year construction of a low-level waste repository in the area.
Job Description:

We are currently seeking a dedicated and experienced [Job Title] to join our team. The ideal candidate will have a passion for [specific field/industry], excellent organizational skills, and the ability to work well under pressure.

Key responsibilities include:
– [List key responsibilities and duties that the candidate will be expected to perform]

The successful candidate will have the following qualifications:
– [List specific qualifications, experience, and skills required for the role]

If you are a motivated and dynamic individual looking for a new challenge, we would love to hear from you. Start your application today and take the next step in your career with us.

Expected salary:

Job date: Sat, 20 Jul 2024 07:10:48 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

MatchaTalent – (Global Oil Gas) Generative AI & Deep Gen AI Expert – Vancouver, BC

Company: MatchaTalent

Location: Vancouver, BC

Job description: generation, and the marketing of crude oil, petroleum and petrochemical products, and related services to international… seeking a brilliant and results-driven Generative AI Expert to join the Technology & Digital Coordination team within its HR…
A company is looking for a Generative AI Expert to work in their Technology & Digital Coordination team in the HR department. The role involves working with the generation, marketing, and sale of crude oil, petroleum, petrochemical products, and related services on an international level. They are seeking someone who is highly skilled and can deliver successful results.
Job Description

Title: Manager, Marketing and Communications

Location: Mississauga, ON

Our client, a leading pharmaceutical company, is seeking a Manager of Marketing and Communications to join their team in Mississauga. This role will be responsible for planning and executing marketing strategies, managing communications campaigns, and working cross-functionally to drive brand awareness and sales.

Key Responsibilities:
– Develop and implement marketing plans to drive brand awareness and sales
– Manage all aspects of marketing communications, including advertising, public relations, and digital marketing
– Collaborate with cross-functional teams to develop marketing materials and campaigns
– Analyze market trends and competitor activity to inform marketing strategy
– Monitor and report on the effectiveness of marketing campaigns
– Manage relationships with external agencies and vendors

Qualifications:
– Bachelor’s degree in Marketing, Communications, or related field
– 5+ years of experience in marketing and communications
– Pharmaceutical industry experience is highly preferred
– Strong project management skills and the ability to multitask in a fast-paced environment
– Excellent communication and presentation skills
– Proficiency in Microsoft Office Suite and marketing software

If you are a dynamic marketing and communications professional looking to take the next step in your career, we want to hear from you. Apply now to be considered for this exciting opportunity.

Expected salary:

Job date: Sat, 06 Jul 2024 04:29:32 GMT