“GPU compute” jobs in Canada – Page 19

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• 1mo

  DevOps Engineer - New Grad 2026

  Toronto, ON

  HybridFull Time

  

  Cerebras Systems

  Candidates need to be enrolled in a computer science or engineering program, with software development experience and skills in Python, shell scripting and CI/CD. Cerebras Systems also asks for container and Kubernetes experience, and for cloud service work on AWS or similar platforms.

  Jenkins, Docker, Kubernetes, AWS, Makefiles

  1mo

  Software Engineer - New Grad 2026

  Toronto, ON

  HybridFull Time

  

  Cerebras Systems

  Candidates need a recent or current computer science or engineering degree graduating in 2026, proficiency in C or C++, and interest or exposure to systems programming, networking, embedded systems or distributed infrastructure.

  Embedded systems, ML, Debug software, Debugging, Firmware, Computer science

  1mo

  Technical Lead Manager, Infrastructure Hardware (Server and Network Systems)

  Toronto, ON

  HybridFull Time

  

  Cerebras Systems

  8+ YOECandidates need a B.S. or M.S. in computer science or electrical/computer engineering, or equivalent experience, plus 8+ years of technical leadership on server, network or infrastructure platforms. Deep knowledge of server architecture and networking fundamentals, and experience running multi-vendor programs, are required.

  Linux, PCIe, optics

  1mo

  Security & IT General Opportunities

  Canada

  Full Time

  

  Cerebras Systems

  Candidates need experience in IT operations, security engineering or cloud and network security, and a preference for automation and scripting. Experience with identity, endpoint or incident response is an asset.

  Building automation, System administration, Incident response, Infrastructure as code

  1mo

  Applied Machine Learning Research Scientist

  Toronto, ON

  HybridFull Time

  

  Cerebras Systems

  4+ YOECandidates need a Bachelor's or Master's degree in a related field and 4+ years of ML experience. Strong Python and PyTorch skills, transformer knowledge and the ability to implement ideas from ML papers are required.

  PyTorch, Python

  1mo

  AI Inference Core - Software Integration Engineer

  Toronto, ON

  HybridFull Time

  

  Cerebras Systems

  Cerebras Systems needs candidates with strong software fundamentals in Python, C++, Go or similar, and experience with hardware accelerators, compilers, kernels or low-level systems. Experience debugging distributed systems, AI infrastructure, profiling and clear cross-team communication are also needed.

  Documentation, Detect bottlenecks, Python, C++, Go, Debugging

  1mo

  ML Systems Performance Engineer

  Canada

  Full Time

  

  Cerebras Systems

  3+ YOECandidates need a Bachelor's, Master's or PhD in Electrical Engineering or Computer Science, strong computer architecture knowledge and 3+ years in a relevant domain such as CPU/GPU performance or kernel optimization. Experience with simulators, performance profiling, C++ and Python is required.

  C++, Python, CPU/GPU simulators, Wafer Scale Engine, profiling tools

  1mo

  Software Engineer, GPU Inference

  Toronto, ON

  On-siteFull Time

  

  Cerebras Systems

  5+ YOECerebras Systems needs candidates with 5+ years of software engineering experience, including production inference work for large models. Strong C++ and Python, hands-on serving framework experience such as vLLM, and deep GPU performance knowledge are required.

  vLLM, ROCm, PyTorch, Kubernetes, AMD Instinct GPUs, RCCL

  1mo

  Senior Runtime Engineer

  Canada

  Full Time

  

  Cerebras Systems

  3+ YOECandidates need 3+ years building high-performance or distributed systems software, strong C/C++ skills, and experience with multi-threading and memory management. A Bachelor's, Master's, or equivalent experience in Computer Science, Electrical Engineering, or a related field is required.

  C, C++, PyTorch, Python

  1mo

  Full Stack LLM Engineer

  Toronto, ON

  HybridFull Time

  

  Cerebras Systems

  Candidates need a degree in computer science, engineering or a related field, plus experience with deep learning frameworks, C/C++ low-level optimization and compiler development such as LLVM or MLIR. Strong debugging and optimization skills, including work on NP-hard problems, are also expected.

  PyTorch, TensorFlow, LLVM, MLIR, C++

  1mo

  Staff Software Engineer, Inference Platform

  Toronto, ON

  On-siteFull Time

  

  Cerebras Systems

  8+ YOECandidates need 8+ years of software engineering experience, deep distributed systems and Kubernetes expertise, and strong Go or C++ skills. Experience with TLS/mTLS, high-QPS latency optimization, and observability and SLO-driven operations is also required.

  Kubernetes, Go, C++

  1mo

  FPGA Engineer

  Toronto, ON

  HybridFull Time

  

  Cerebras Systems

  5+ YOECerebras Systems needs candidates with 5+ years of production FPGA experience (or a Master's/PhD plus 3 years), Verilog skill in a Git repository, and strong FPGA place-and-route, timing closure and debug skills. Knowledge of TCP, RoCE and Wireshark, plus network switch familiarity, is also required.

  Verilog, Git, Wireshark, Arista, Juniper

• 1mo

  Strategic Partnerships Manager

  Remote in Canada

  Remote

  

  FirstPrinciples

  3+ YOECandidates need 3 to 7+ years of partnership, business development or ecosystem experience in technology, AI or research, and a bachelor's degree in a relevant field. Strong negotiation skills, the ability to understand AI and cloud infrastructure, and experience with cloud or developer ecosystems are strongly preferred.

  Research, Collaboration, Regulatory compliance, Computer science, Sales, Relationship building

• 1mo

  Software Engineer, Machine Learning

  Vancouver, BC

  Full Time

  E

  Ema

  Ema needs candidates with deep, defensible experience in agent systems, post-training, reward modeling, RL environments, retrieval or evaluation design, plus statistical rigour and production engineering skill. A master's or PhD in a relevant field, or equivalent work or research experience, is accepted.

  TRL, veRL, OpenRLHF, vLLM, SGLang

• 1mo

  Software Developer Intern

  Montréal, QC

  Internship

  

  DRW

  Candidates need to be enrolled in a bachelor's, master's or PhD program in computer science, engineering, physics, mathematics or a related science, with graduation between December 2027 and June 2028. They need strong object-oriented design and algorithm skills and solid programming in at least one of Python, JavaScript, C++, Ruby, C#, Go or Java.

  Python, JavaScript, React, Angular, C++, C#

  1mo

  Machine Learning Specialist

  Montréal, QC

  

  DRW

  5+ YOECandidates need a bachelor's or master's degree in computer science or software engineering, plus 5+ years building software for machine learning systems. Strong programming skills, deep learning knowledge and production MLOps experience are essential.

  TensorFlow, PyTorch, TensorRT, ONNX, CUDA, OpenCL

• 1mo

  Infrastructure Engineer

  Toronto, ON

  On-siteFull Time

  

  Shakudo

  8+ YOECandidates need 8+ years in software, data, platform or AI engineering, with 5+ years of Kubernetes, DevOps and bare-metal server operation at scale. Strong security hardening, observability and reliability skills are required; Rust and LLM hosting experience are preferred.

  Kubernetes, DGX, Rust, CI/CD systems

• 1mo

  Senior Researcher Communications Specialist

  Montréal, QC

  

  LawZero

  5+ YOECandidates need 5+ years in technical or scientific communication, a solid grasp of machine learning and AI safety, and exceptional written English. Professional French and experience with grant writing are also required or valued.

  Leadership, Research, Content creation, Communication skills, Translation, Grant writing

  1mo

  Senior Distributed ML Engineer

  Montréal, QC

  

  LawZero

  3+ YOECandidates need a relevant computer science degree and 3+ years designing distributed ML training frameworks, including recent use of Megatron, DeepSpeed, FSDP or vLLM. Experience with cloud platforms, Ray or SLURM, GPU profiling, Docker or Kubernetes, and deep learning research is also expected.

  Megatron, DeepSpeed, HuggingFace Accelerate, FSDP, vLLM, verl

  1mo

  Senior Data Platform Engineer

  Montréal, QC

  

  LawZero

  5+ YOECandidates need a bachelor's degree in a relevant field and 5+ years of experience with large distributed data processing or ML data frameworks. They should have owned a high-throughput system under real reliability and cost pressure.

  Ray, Apache Spark, Apache Arrow, Parquet, Kubernetes, Slurm

• 1mo

  Engineering Manager, FDE Infrastructure (NORAM)

  Remote in Canada

  $320k–$385k/yrRemoteFull Time

  

  Cohere: Cohere is the leading security-first enterprise AI company.

  5+ YOECandidates need 5+ years of software engineering with proven leadership, hands-on experience deploying enterprise software, and strong cloud skills on Azure, AWS or GCP. Kubernetes, Helm, CI/CD and excellent English communication are also required.

  Kubernetes, Helm, OpenSearch

  1mo

  Staff Software Engineer, Inference Infrastructure

  Toronto, ON +1

  HybridFull Time

  

  Cohere: Cohere is the leading security-first enterprise AI company.

  5+ YOECandidates need 5+ years of engineering experience running large-scale production infrastructure, especially distributed systems on Kubernetes with GPU workloads. Strong Linux, cloud platform, troubleshooting and performance skills are required, and experience in Golang, C++ or a similar high-performance language is a plus.

  Kubernetes, Linux, GPU, GCP, Azure, AWS

  1mo

  Member of Technical Staff, Model Efficiency

  Toronto, ON +1

  $295k–$535k/yrRemoteFull Time

  

  Cohere: Cohere is the leading security-first enterprise AI company.

  5+ YOECandidates need 5+ years writing high-performance production code in C++ or Python, experience with LLM inference tools such as vLLM or SGLang, and a bias for shipping fast and measuring impact.

  vLLM, SGLang, CUDA

  1mo

  Member of Technical Staff - Sovereign AI

  Toronto, ON

  $295k–$535k/yrOn-siteFull Time

  

  Cohere: Cohere is the leading security-first enterprise AI company.

  Candidates need Canadian citizenship and eligibility for security clearance, plus extremely strong software engineering skills in Python and ML frameworks. Experience training, evaluating and using large language models, and with large-scale distributed GPU training, is required; publications at top venues are a bonus.

  Python

7 companies