Multiverse Computing – Machine Learning Engineer Intern – Toronto, ON

Company: Multiverse Computing

Location: Toronto, ON

Expected salary:

Job date: Wed, 16 Jul 2025 22:20:15 GMT

Job description: Multiverse ComputingMultiverse is a well-funded, fast-growing deep-tech company founded in 2019. We are the largest quantum software company in the EU and have been recognized by CB Insights (2023 and 2025) as one of the 100 most promising AI companies in the world.
With 180+ employees and growing, our team is fully multicultural and international. We deliver hyper-efficient software for companies seeking a competitive edge through quantum computing and artificial intelligence.
Our flagship products, CompactifAI and Singularity, address critical needs across various industries:

  • CompactifAI is a groundbreaking compression tool for foundational AI models based on Tensor Networks. It enables the compression of large AI systems—such as language models—to make them significantly more efficient and portable.
  • Singularity is a quantum- and quantum-inspired optimization platform used by blue-chip companies to solve complex problems in finance, energy, manufacturing, and beyond. It integrates seamlessly with existing systems and delivers immediate performance gains on classical and quantum hardware.

You’ll be working alongside world-leading experts to develop solutions that tackle real-world challenges. We’re looking for passionate individuals eager to grow in an ethics-driven environment that values sustainability and diversity.
We’re committed to building a truly inclusive culture—come and join us.This is a Mitacs internship program and as a Machine Learning Intern, you will

  • Work with Fortune-500 customers from government and private sectors.
  • Collaborate with the founding team in a fast paced startup environment.
  • Tackle high value open problems from industry.
  • Collaborate with quantum experts to design and implement new machine learning models.

Required Qualifications

  • Currently pursuing or recent graduate in Masters or Phd degree in Computer Science, Statistics, Operations Research, or related field.
  • Background in machine learning, both theoretical and practical.
  • Knowledge of Python, Scikit, and TensorFlow.
  • Knowledge of Classical Machine Learning and Deep Learning
  • Familiarity with cloud platforms (ideally AWS) and containerization technologies (Docker).
  • Experience using git, unit testing, and docker.
  • Ability to work with a diverse team of people, both in-person and through online resources.
  • Perfect command of English language

Preferred Qualifications

  • Expertise in deep learning
  • Ability to work independently and hit the ground running.
  • Personal projects in ML will be valued.

Exceptional Qualifications

  • Knowledge of quantum physics / quantum computing.

Perks & Benefits

  • 8 months internship contract with chance to extend for 4 months.
  • Relocation package (if applicable, it will be included in the offer).
  • Hybrid work policy with 3 days in office and 2 days home.
  • Working in a high paced environment, working on cutting edge technologies.
  • Career plan. Opportunity to learn and teach.
  • Progressive Company. Happy people culture.

As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.Come and join our multicultural team!5 locations
+27 languages

Multiverse Computing – DevOps Engineer Intern – Toronto, ON

Company: Multiverse Computing

Location: Toronto, ON

Expected salary:

Job date: Thu, 17 Jul 2025 02:13:37 GMT

Job description: Multiverse ComputingMultiverse is a well-funded, fast-growing deep-tech company founded in 2019. We are the largest quantum software company in the EU and have been recognized by CB Insights (2023 and 2025) as one of the 100 most promising AI companies in the world.
With 180+ employees and growing, our team is fully multicultural and international. We deliver hyper-efficient software for companies seeking a competitive edge through quantum computing and artificial intelligence.
Our flagship products, CompactifAI and Singularity, address critical needs across various industries:

  • CompactifAI is a groundbreaking compression tool for foundational AI models based on Tensor Networks. It enables the compression of large AI systems—such as language models—to make them significantly more efficient and portable.
  • Singularity is a quantum- and quantum-inspired optimization platform used by blue-chip companies to solve complex problems in finance, energy, manufacturing, and beyond. It integrates seamlessly with existing systems and delivers immediate performance gains on classical and quantum hardware.

You’ll be working alongside world-leading experts to develop solutions that tackle real-world challenges. We’re looking for passionate individuals eager to grow in an ethics-driven environment that values sustainability and diversity.
We’re committed to building a truly inclusive culture—come and join us.This is a Mitacs internship program and as a DevOps Engineer Intern, you will

  • Help deploy our software stack to Fortune 500 clients’ servers.
  • Participate in the design of Multiverse’s toolbox interface.
  • Assist in automating software deployment and delivery processes.
  • Collaborate with developers and DevOps engineers to build and improve CI/CD pipelines.
  • Support the maintenance and scaling of cloud infrastructure (AWS, Azure).
  • Contribute to monitoring and troubleshooting development and production environments.
  • Learn and support Infrastructure as Code (IaC) practices using tools like Terraform.
  • Participate in regular team meetings and contribute to innovation in tooling and automation.

Required Qualifications

  • Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Academic or project experience in DevOps, system administration, or backend development.
  • Familiarity with Linux-based systems and scripting (Bash, Python, etc.).
  • Basic understanding of CI/CD tools (GitHub Actions, GitLab CI/CD, Jenkins, etc.).
  • Interest in cloud platforms (AWS, Azure, or GCP).
  • Eagerness to learn containerization tools like Docker and Kubernetes.
  • Passion for clean code, automation, and continuous improvement.
  • Strong problem-solving and communication skills.

Preferred Qualifications

  • Knowledge of Infrastructure as Code (Terraform, Ansible).
  • Familiarity with GitOps practices (e.g., ArgoCD).
  • Exposure to SQL or NoSQL databases.
  • Interest in quantum computing or advanced computing environments.

Perks & Benefits

  • 8 months internship contract with chance to extend for 4 months.
  • Relocation package (if applicable, it will be included in the offer).
  • Hybrid work policy with 3 days in office and 2 days home.
  • Working in a high paced environment, working on cutting edge technologies.
  • Career plan. Opportunity to learn and teach.
  • Progressive Company. Happy people culture.

As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.Come and join our multicultural team!5 locations
+27 languages

Multiverse Computing – MLOps Engineer Intern – Toronto, ON

Company: Multiverse Computing

Location: Toronto, ON

Expected salary:

Job date: Thu, 17 Jul 2025 05:31:34 GMT

Job description: Multiverse ComputingMultiverse is a well-funded, fast-growing deep-tech company founded in 2019. We are the largest quantum software company in the EU and have been recognized by CB Insights (2023 and 2025) as one of the 100 most promising AI companies in the world.
With 180+ employees and growing, our team is fully multicultural and international. We deliver hyper-efficient software for companies seeking a competitive edge through quantum computing and artificial intelligence.
Our flagship products, CompactifAI and Singularity, address critical needs across various industries:

  • CompactifAI is a groundbreaking compression tool for foundational AI models based on Tensor Networks. It enables the compression of large AI systems—such as language models—to make them significantly more efficient and portable.
  • Singularity is a quantum- and quantum-inspired optimization platform used by blue-chip companies to solve complex problems in finance, energy, manufacturing, and beyond. It integrates seamlessly with existing systems and delivers immediate performance gains on classical and quantum hardware.

You’ll be working alongside world-leading experts to develop solutions that tackle real-world challenges. We’re looking for passionate individuals eager to grow in an ethics-driven environment that values sustainability and diversity.
We’re committed to building a truly inclusive culture—come and join us.This is a Mitacs internship program and as a MLOps Engineer Intern, you will

  • Help deploy our software stack to Fortune 500 clients’ servers.
  • Participate in the design of Multiverse’s toolbox interface.
  • Assist in deploying ML and LLM models to production environments.
  • Help design and support pipelines for data preprocessing, model training, and deployment
  • Work with automation tools like GitOps, CI/CD, Docker, and Kubernetes to support scalable ML workflows.
  • Collaborate with DevOps and Product teams to optimize model deployment and infrastructure
  • Assist in managing cloud resources (Azure/AWS) used for ML/LLM tasks.
  • Stay up to date with trends in MLOps, LLMOps, and generative AI tools.

Required Qualifications

  • Pursuing or recently completed a Bachelor’s or Master’s in Computer Science, Engineering, or related field.
  • Strong interest in MLOps, LLMs, or generative AI technologies.
  • Some hands-on experience (via coursework or projects) with ML/AI model deployment, versioning, or monitoring.
  • Familiarity with Python and basic knowledge of ML libraries like PyTorch, TensorFlow, or scikit-learn.
  • Exposure to Docker and cloud platforms like Azure or AWS is a plus.
  • Good communication and problem-solving skills.
  • Fluent in English;

Perks & Benefits

  • 8 months internship contract with chance to extend for 4 months.
  • Relocation package (if applicable, it will be included in the offer).
  • Hybrid work policy with 3 days in office and 2 days home.
  • Working in a high paced environment, working on cutting edge technologies.
  • Career plan. Opportunity to learn and teach.
  • Progressive Company. Happy people culture.

As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.Come and join our multicultural team!5 locations
+27 languages

Zifo – Lab Computing Analyst – Toronto, ON

Company: Zifo

Location: Toronto, ON

Expected salary:

Job date: Sat, 14 Jun 2025 22:25:32 GMT

Job description: Location: Toronto, ON, CanadaThe Zifo Lab Computing Analyst provides technical laboratory services, including multivendor instrument, information technology and validation/compliance services when applicable. The individual will provide the consulting skills required to analyze customer needs and gaps to propose solutions for the desired state. He or she will work with business users and managers of customers in conjunction with the internal Zifo support team.**this role is not eligible for relocation assistance**RequirementsResponsibilities:

  • Provide technical support of customer laboratory environments, typically for computers that are integrated with instrumentation
  • Manage lab computing aspects of installing new, retirement and relocation of equipment
  • Implement Windows based security
  • Ensure adherence to client’s corporate policies through periodic reporting and compliance programs
  • Act as the technical support contact for field service engineers and external vendors
  • Provide technical subject matter expertise for new system validation and change management efforts
  • Document procedures, policies, troubleshooting and best practices
  • Create and maintain a physical inventory of lab equipment, PC’s, software, and any other information pertinent to the environment if applicable
  • Perform system preventative maintenances based on client’s schedule, if applicable

Required Skills:

  • Excellent customer service skills complemented by an ability to listen to and interpret client requests
  • Ability to troubleshoot complex instrument and technology issues
  • Strong oral and written communication skills
  • Ability to identify, track and complete tasks for multiple projects
  • Knowledge of laboratory safety practices as defined by the company and/or customer’s site safety code

Qualifications:

  • Bachelor of Science in computer science, life science or equivalent industry experience
  • 3+ years of relevant technical experience including (but not limited to); Windows technologies, networking, remote computing and backup systems
  • Excellent customer service skills complemented by an ability to listen to and interpret client requests
  • Ability to troubleshoot complex instrument and technology issues
  • Strong oral and written communication skills
  • Ability to identify, track and complete tasks for multiple projects
  • Knowledge of laboratory safety practices as defined by the company and/or customer’s site safety code
  • Experience with virtual machine support (preferred)
  • Experience with scientific instrumentation (preferred)

BenefitsAbout Zifo:CURIOSITY DRIVEN, SCIENCE FOCUSED, EMPLOYEE BUILT. Our culture is unlike any other, one where we debate, challenge ourselves, and interact with all alike. We are a curious bunch, characterized by our passion to learn and spirit of teamwork. Zifo is a global R&D solutions provider focused on the industries of Pharma, Biotech, Manufacturing QC, Medical Devices, specialty chemicals and other research-based organizations. Our team’s knowledge of science and expertise in technology help Zifo better serve our customers around the globe, including 7 of the Top 10 Biopharma companies.We look for Science – Biotechnology, Pharmaceutical Technology, Biomedical Engineering, Microbiology etc. We possess scientific and technical knowledge and bear professional and personal goals. While we have a “no doors” policy to promote free access within, we do have a tough door to walk in. We search with a two-point agenda – technical competency and cultural adaptability.We offer a competitive compensation package including accrued vacation, medical, dental, vision, 401k with company matching, life insurance, and flexible spending accounts.If you share these sentiments and are prepared for the atypical, then Zifo is your calling!Zifo is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Kinross Gold Corporation – Director, Computing Infrastructure & Cloud Services – Toronto, ON

Company: Kinross Gold Corporation

Location: Toronto, ON

Expected salary:

Job date: Sat, 24 May 2025 22:37:23 GMT

Job description: Start Date ASAPHybrid Work Environment (3 days in office, 2 days remote with flexible hours)Dress Code Business CasualLocation Downtown Toronto, Outside of Union Station (TTC & GO accessible)A Great Place to WorkJob DescriptionThe IT Director, Computing Infrastructure is a pivotal leadership role responsible for the strategic direction, operational excellence, and modernization of the enterprise’s hybrid computing infrastructure. This role is also responsible for the architecture and the design of the ecosystem throughout the modernization journey. This includes on-premises systems, cloud platforms, and the foundational services supporting a modern data and AI ecosystem. The Director plays a critical role in evolving infrastructure practices toward automation, security, and scalability while leading a high-performing team and ensuring alignment with organizational priorities.Job ResponsibilitiesStrategic Leadership and Transformation:

  • Develop and execute a forward-looking infrastructure strategy aligned with enterprise IT and business goals.
  • Serve as a trusted advisor to senior IT and business leaders on infrastructure modernization, cloud migration, automation, and operational resilience.
  • Serve as the Enterprise Architecture lead to align infrastructure capabilities with digital platform roadmaps.
  • Promote a culture of innovation, agility, and continuous improvement across infrastructure teams

Infrastructure Operations Management:

  • Oversee the end-to-end operations of data center services, cloud environments, and foundational infrastructure platforms.
  • Defining and track SLAs and key performance indicators (KPIs) for service delivery, uptime, and user experience.
  • Support the implementation and execution of the enterprise backup and recovery processes and capabilities
  • Ensure high levels of system availability, performance, and stability through proactive monitoring, maintenance, and incident management.
  • Manage relationships with key infrastructure vendors and service providers, ensuring service level agreements (SLAs) are met.

Infrastructure Modernization and Cloud Strategy:

  • Develop and execute a strategic cloud migration roadmap, identifying suitable workloads for cloud adoption and ensuring a seamless transition.
  • Lead the transformation of legacy infrastructure environments through cloud adoption, workload re-platforming, and data center consolidation. Drive the adoption of Infrastructure as Code (IaC), configuration management, and CI/CD-aligned automation practices.
  • Build the organization’s cloud infrastructure strategy, ensuring platforms are optimized for performance, security, and cost.
  • Implement and oversee FinOps-aligned processes for cloud resource allocation, monitoring, and cost optimization.
  • Evaluate emerging cloud services and technologies to enhance flexibility and accelerate innovation

Security and Compliance:

  • Ensure the security and integrity of the computing infrastructure in both on-premises and cloud environments.
  • Implement and maintain security best practices, policies, and procedures related to infrastructure.
  • Collaborate with the cybersecurity team to address security vulnerabilities and ensure compliance with relevant regulations and standards.
  • Work with cybersecurity and IT Governance on disaster recovery and business continuity planning and testing for the computing infrastructure.

Team Leadership and Development:

  • Recruit, mentor, and develop a team of skilled infrastructure engineers and administrators.
  • Set clear performance expectations, provide regular feedback, and conduct performance evaluations.
  • Foster a collaborative and supportive team environment that encourages knowledge sharing and professional growth.
  • Identify training and development opportunities to enhance the team’s technical skills and industry knowledge.

Education and Experience

  • Bachelor’s degree in Computer Science, Information Technology, or a related field; Master’s degree preferred.
  • 10 years of progressive experience in IT infrastructure management, with 5 years in a leadership role.
  • Extensive hands on experience managing both on-premises and cloud infrastructure environments (e.g., AWS, Azure, GCP).
  • Deep understanding of DevOps best practices specific to the management of infrastructure.
  • Proven track record of leading and executing infrastructure modernization and cloud migration projects.
  • Proven track record developing and implementing architecture patterns for both cloud and on premise systems.
  • Strong knowledge of server virtualization, storage technologies, networking principles, and operating systems.
  • Experience working with Databricks, Fabric, or comparable data stacks.
  • Excellent understanding of security best practices and compliance requirements for infrastructure and infrastructure as code.
  • Exceptional leadership, communication, interpersonal, and problem-solving skills.
  • Ability to effectively communicate technical concepts to both technical and non-technical audiences.
  • Strong vendor management and negotiation skills.

Competencies

  • Strategic Thinking
  • Technical Expertise
  • Leadership and Team Development
  • Decision Making
  • Problem Solving
  • Communication (Written and Verbal)
  • Financial Management
  • Project Management
  • Change Management
  • Results Orientation

Working Conditions

  • Primarily office environment.
  • May require occasional travel.
  • May require working outside of regular business hours to address critical issues or implement changes.

Kinross is a Canadian-based global senior gold mining company with operations and projects in the United States, Brazil, Mauritania, Chile, and Canada. Our focus on delivering value is based on our core principles of responsible mining, operational excellence, disciplined growth and balance sheet strength. Kinross maintains listings on the Toronto Stock Exchange (symbol:K) and the New York Stock Exchange (symbol:KGC).

Kinross Gold Corporation – Director, Computing Infrastructure & Cloud Services – Toronto, ON

Company: Kinross Gold Corporation

Location: Toronto, ON

Expected salary:

Job date: Sun, 25 May 2025 02:55:20 GMT

Job description: Start Date ASAPHybrid Work Environment (3 days in office, 2 days remote with flexible hours)Dress Code Business CasualLocation Downtown Toronto, Outside of Union Station (TTC & GO accessible)A Great Place to WorkJob DescriptionThe IT Director, Computing Infrastructure is a pivotal leadership role responsible for the strategic direction, operational excellence, and modernization of the enterprise’s hybrid computing infrastructure. This role is also responsible for the architecture and the design of the ecosystem throughout the modernization journey. This includes on-premises systems, cloud platforms, and the foundational services supporting a modern data and AI ecosystem. The Director plays a critical role in evolving infrastructure practices toward automation, security, and scalability while leading a high-performing team and ensuring alignment with organizational priorities.Job ResponsibilitiesStrategic Leadership and Transformation:

  • Develop and execute a forward-looking infrastructure strategy aligned with enterprise IT and business goals.
  • Serve as a trusted advisor to senior IT and business leaders on infrastructure modernization, cloud migration, automation, and operational resilience.
  • Serve as the Enterprise Architecture lead to align infrastructure capabilities with digital platform roadmaps.
  • Promote a culture of innovation, agility, and continuous improvement across infrastructure teams

Infrastructure Operations Management:

  • Oversee the end-to-end operations of data center services, cloud environments, and foundational infrastructure platforms.
  • Defining and track SLAs and key performance indicators (KPIs) for service delivery, uptime, and user experience.
  • Support the implementation and execution of the enterprise backup and recovery processes and capabilities
  • Ensure high levels of system availability, performance, and stability through proactive monitoring, maintenance, and incident management.
  • Manage relationships with key infrastructure vendors and service providers, ensuring service level agreements (SLAs) are met.

Infrastructure Modernization and Cloud Strategy:

  • Develop and execute a strategic cloud migration roadmap, identifying suitable workloads for cloud adoption and ensuring a seamless transition.
  • Lead the transformation of legacy infrastructure environments through cloud adoption, workload re-platforming, and data center consolidation. Drive the adoption of Infrastructure as Code (IaC), configuration management, and CI/CD-aligned automation practices.
  • Build the organization’s cloud infrastructure strategy, ensuring platforms are optimized for performance, security, and cost.
  • Implement and oversee FinOps-aligned processes for cloud resource allocation, monitoring, and cost optimization.
  • Evaluate emerging cloud services and technologies to enhance flexibility and accelerate innovation

Security and Compliance:

  • Ensure the security and integrity of the computing infrastructure in both on-premises and cloud environments.
  • Implement and maintain security best practices, policies, and procedures related to infrastructure.
  • Collaborate with the cybersecurity team to address security vulnerabilities and ensure compliance with relevant regulations and standards.
  • Work with cybersecurity and IT Governance on disaster recovery and business continuity planning and testing for the computing infrastructure.

Team Leadership and Development:

  • Recruit, mentor, and develop a team of skilled infrastructure engineers and administrators.
  • Set clear performance expectations, provide regular feedback, and conduct performance evaluations.
  • Foster a collaborative and supportive team environment that encourages knowledge sharing and professional growth.
  • Identify training and development opportunities to enhance the team’s technical skills and industry knowledge.

Education and Experience

  • Bachelor’s degree in Computer Science, Information Technology, or a related field; Master’s degree preferred.
  • 10 years of progressive experience in IT infrastructure management, with 5 years in a leadership role.
  • Extensive hands on experience managing both on-premises and cloud infrastructure environments (e.g., AWS, Azure, GCP).
  • Deep understanding of DevOps best practices specific to the management of infrastructure.
  • Proven track record of leading and executing infrastructure modernization and cloud migration projects.
  • Proven track record developing and implementing architecture patterns for both cloud and on premise systems.
  • Strong knowledge of server virtualization, storage technologies, networking principles, and operating systems.
  • Experience working with Databricks, Fabric, or comparable data stacks.
  • Excellent understanding of security best practices and compliance requirements for infrastructure and infrastructure as code.
  • Exceptional leadership, communication, interpersonal, and problem-solving skills.
  • Ability to effectively communicate technical concepts to both technical and non-technical audiences.
  • Strong vendor management and negotiation skills.

Competencies

  • Strategic Thinking
  • Technical Expertise
  • Leadership and Team Development
  • Decision Making
  • Problem Solving
  • Communication (Written and Verbal)
  • Financial Management
  • Project Management
  • Change Management
  • Results Orientation

Working Conditions

  • Primarily office environment.
  • May require occasional travel.
  • May require working outside of regular business hours to address critical issues or implement changes.

Kinross is a Canadian-based global senior gold mining company with operations and projects in the United States, Brazil, Mauritania, Chile, and Canada. Our focus on delivering value is based on our core principles of responsible mining, operational excellence, disciplined growth and balance sheet strength. Kinross maintains listings on the Toronto Stock Exchange (symbol:K) and the New York Stock Exchange (symbol:KGC).

Huawei – Intern Researcher – Efficient Computing for AI – Markham, ON

Company: Huawei

Location: Markham, ON

Expected salary: $93000 – 104000 per year

Job date: Wed, 11 Sep 2024 22:54:57 GMT

Job description: Our team has an immediate 12-month internship opening for a Researcher.Responsibilities:

  • Carry out research on next-generation emerging technologies related to computing and AI, survey the latest trends on a regular basis, and understand the technology evolution roadmap.
  • Assist in technical path analysis, evaluation, and providing insight
  • Identify the key technology challenges and study disrupting architectures, technologies, components, and algorithms to address those challenges.
  • Design and own a complete next generation solution.
  • Work closely with other team members to understand and analyze the interplay between computing systems, AI, Wireless and optical communications.

The target annual compensation (based on 2080 hours per year) ranges from $93,000 to $104,000 depending on education, experience and demonstrated expertise.What you’ll bring to the team:

  • Ph.D. student in a field related to computing systems and devices
  • Strong academic network and awareness of research within academia
  • Published papers in top conferences and journals
  • Good teamwork spirit and communication skills
  • Have creative thinking
  • Responsible, proactive, and passionate about solving challenging problems
  • Familiarity with one or more the domains below:
  • Distributed and parallel learning algorithms, ML programming models and abstractions
  • ML compilers and runtimes
  • DCN for AI
  • Specialized hardware for AI
  • Hardware-efficient ML methods
  • Efficient ML model training, and inference
  • Memory management, memory pooling

Huawei – Intern Researcher – Efficient Computing for AI – Markham, ON

Company: Huawei

Location: Markham, ON

Expected salary: $93000 – 104000 per year

Job date: Thu, 12 Sep 2024 06:40:06 GMT

Job description: Our team has an immediate 12-month internship opening for a Researcher.Responsibilities:

  • Carry out research on next-generation emerging technologies related to computing and AI, survey the latest trends on a regular basis, and understand the technology evolution roadmap.
  • Assist in technical path analysis, evaluation, and providing insight
  • Identify the key technology challenges and study disrupting architectures, technologies, components, and algorithms to address those challenges.
  • Design and own a complete next generation solution.
  • Work closely with other team members to understand and analyze the interplay between computing systems, AI, Wireless and optical communications.

The target annual compensation (based on 2080 hours per year) ranges from $93,000 to $104,000 depending on education, experience and demonstrated expertise.What you’ll bring to the team:

  • Ph.D. student in a field related to computing systems and devices
  • Strong academic network and awareness of research within academia
  • Published papers in top conferences and journals
  • Good teamwork spirit and communication skills
  • Have creative thinking
  • Responsible, proactive, and passionate about solving challenging problems
  • Familiarity with one or more the domains below:
  • Distributed and parallel learning algorithms, ML programming models and abstractions
  • ML compilers and runtimes
  • DCN for AI
  • Specialized hardware for AI
  • Hardware-efficient ML methods
  • Efficient ML model training, and inference
  • Memory management, memory pooling

Huawei – Intern Researcher – Efficient Computing for AI – Markham, ON

Company: Huawei

Location: Markham, ON

Expected salary: $93000 – 104000 per year

Job date: Thu, 12 Sep 2024 07:23:53 GMT

Job description: Our team has an immediate 12-month internship opening for a Researcher.Responsibilities:

  • Carry out research on next-generation emerging technologies related to computing and AI, survey the latest trends on a regular basis, and understand the technology evolution roadmap.
  • Assist in technical path analysis, evaluation, and providing insight
  • Identify the key technology challenges and study disrupting architectures, technologies, components, and algorithms to address those challenges.
  • Design and own a complete next generation solution.
  • Work closely with other team members to understand and analyze the interplay between computing systems, AI, Wireless and optical communications.

The target annual compensation (based on 2080 hours per year) ranges from $93,000 to $104,000 depending on education, experience and demonstrated expertise.What you’ll bring to the team:

  • Ph.D. student in a field related to computing systems and devices
  • Strong academic network and awareness of research within academia
  • Published papers in top conferences and journals
  • Good teamwork spirit and communication skills
  • Have creative thinking
  • Responsible, proactive, and passionate about solving challenging problems
  • Familiarity with one or more the domains below:
  • Distributed and parallel learning algorithms, ML programming models and abstractions
  • ML compilers and runtimes
  • DCN for AI
  • Specialized hardware for AI
  • Hardware-efficient ML methods
  • Efficient ML model training, and inference
  • Memory management, memory pooling

Huawei – Intern Researcher – Efficient Computing for AI – Markham, ON

Company: Huawei

Location: Markham, ON

Expected salary: $93000 – 104000 per year

Job date: Thu, 12 Sep 2024 03:53:08 GMT

Job description: Our team has an immediate 12-month internship opening for a Researcher.Responsibilities:

  • Carry out research on next-generation emerging technologies related to computing and AI, survey the latest trends on a regular basis, and understand the technology evolution roadmap.
  • Assist in technical path analysis, evaluation, and providing insight
  • Identify the key technology challenges and study disrupting architectures, technologies, components, and algorithms to address those challenges.
  • Design and own a complete next generation solution.
  • Work closely with other team members to understand and analyze the interplay between computing systems, AI, Wireless and optical communications.

The target annual compensation (based on 2080 hours per year) ranges from $93,000 to $104,000 depending on education, experience and demonstrated expertise.What you’ll bring to the team:

  • Ph.D. student in a field related to computing systems and devices
  • Strong academic network and awareness of research within academia
  • Published papers in top conferences and journals
  • Good teamwork spirit and communication skills
  • Have creative thinking
  • Responsible, proactive, and passionate about solving challenging problems
  • Familiarity with one or more the domains below:
  • Distributed and parallel learning algorithms, ML programming models and abstractions
  • ML compilers and runtimes
  • DCN for AI
  • Specialized hardware for AI
  • Hardware-efficient ML methods
  • Efficient ML model training, and inference
  • Memory management, memory pooling