“NVIDIA GPU hardware” jobs in Canada – Page 2

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• 26d

  Senior Technical Project Manager (STPM)

  British Columbia

  $120k–$165k/yrRemote

  I

  IREN

  7+ YOECandidates need a bachelor's degree in engineering, computer science, IT or construction management, or equivalent experience, plus 7+ years of technical project management and experience delivering complex infrastructure. Strong integrated scheduling and excellent communication skills are required; AI, HPC or data centre experience and PMP or PRINCE2 are preferred.

  Jira, Microsoft Project, Primavera P6, NetBox, Nlyte DCIM

• 26d

  ASIC Architect, Principal (AI Inference)

  Remote in Canada

  RemoteFull Time

  

  Positron AI

  15+ YOECandidates need 15+ years of ASIC architecture experience, deep expertise in AI accelerators and high-performance SoCs, and hands-on work with memory and interconnect performance models. Strong hardware/software co-design and excellent communication skills are required.

  Machine learning, ML, Communication skills, Firmware, Research

• 27d

  Infrastructure Operations Engineer

  Québec, QC

  

  NexGen Cloud: Founded in 2020, NexGen Cloud builds and operates the cloud platforms that enterprises and AI teams rely on - with sovereignty, compliance, and…

  Candidates need hands-on experience racking, stacking and building servers in data centres, plus extensive Linux administration and a solid grasp of networking and storage. They must manage hardware RMAs end-to-end and be willing to work on site at the data centres.

  OpenStack, Kubernetes, Linux, NVIDIA GPU hardware, IPMI, iDRAC

• 27d

  Research Associate, Semiconductors & AI Infrastructure - 26229

  Calgary, AB

  

  Enverus: Energy’s most trusted AI and data provider — creating intelligent connections to deliver extraordinary outcomes.

  Candidates need an electrical or computer engineering degree and an understanding of digital systems, power electronics or semiconductors. Strong technical writing for non-engineer audiences is essential, and familiarity with GPUs, data centers or energy markets is an asset.

  Enverus proprietary energy datasets

  29d

  Research Associate, Semiconductors & AI Infrastructure - 26229

  Calgary, AB

  Full Time

  

  Enverus: Energy’s most trusted AI and data provider — creating intelligent connections to deliver extraordinary outcomes.

  Candidates need an engineering degree in electrical, computer or a related field and a grasp of semiconductor and power fundamentals. Strong written communication for non-engineer audiences and the ability to read technical documents are essential.

  Enverus proprietary energy datasets

• 27d

  Research Engineer Intern - AI Systems

  Remote in Canada

  RemoteInternship

  

  Yotta Labs

  Yotta Labs needs candidates currently enrolled in a BS, MS or PhD program in computer science or computer engineering. They should have solid Python skills, some C++ knowledge, and experience writing GPU kernels from coursework or personal projects.

  CUDA, Triton, ROCm, Neuron SDK, PyTorch, vLLM

  27d

  Research Engineer - AI Systems

  Remote in Canada

  RemoteFull Time

  

  Yotta Labs

  Candidates need strong Python and C++ skills, deep GPU architecture knowledge and experience with CUDA, Triton, ROCm or AWS Neuron. A background in computer science or engineering is preferred, along with the ability to work collaboratively in a remote team.

  CUDA, Triton, ROCm, AWS Neuron SDK, PyTorch, Nsight

  27d

  GPU Cloud Platform Engineer

  Remote in Canada

  RemoteFull Time

  

  Yotta Labs

  5+ YOECandidates need a bachelor's degree or higher in a technical field, 3+ years in systems engineering or DevOps, and 5+ years in cloud-native or AI engineering. Hands-on Kubernetes multi-cluster experience, Docker, Prometheus and Grafana are required.

  Kubernetes, Helm, kubectl, Docker, Prometheus, Grafana

• 27d

  Software Engineer - GPU Networking & Distributed Systems

  Toronto, ON +1

  HybridFull Time

  

  Baseten

  Baseten needs deep experience with high-performance networking such as InfiniBand and RoCE v2, and fluency in C++ or Python. Candidates should understand NVIDIA GPU memory architecture and be comfortable debugging low-level systems.

  InfiniBand, RoCE, NCCL, NVSHMEM, NVLink, TensorRT-LLM

  27d

  Software Engineer - Model Performance Systems

  Toronto, ON +1

  HybridFull Time

  

  Baseten

  Candidates need Python skills, interest in GPU and networking systems, and an automation mindset. Strong communication, the ability to work with vague requirements and mentoring experience are also expected. C++ is a plus.

  PyTorch Profiler, NVIDIA Nsight Systems, py-spy, GitHub Codespaces, InferenceMAX, genai-bench

• 28d

  Software Engineer, GPU Performance

  Toronto, ON

  

  HeyGen

  Candidates need experience optimizing GPU-based AI or high-performance computing systems, strong Python and PyTorch skills, and knowledge of GPU hardware. Using profiling tools to validate improvements is required. CUDA, Triton and video or diffusion model experience are preferred.

  PyTorch, NVIDIA Nsight Systems, NVIDIA Nsight Compute, PyTorch Profiler, CUDA, Triton

• 28d

  Senior ML Kernel Performance Engineer

  Toronto, ON

  Full Time

  AD

  Amazon Development Centre Canada ULC

  5+ YOECandidates need 5+ years of professional software development, experience leading system design and mentoring engineers, and strong programming skills. Preferred: GPU and accelerator kernel optimization (CUDA, Triton, NKI), LLVM/MLIR, and PyTorch or TensorFlow knowledge.

  CUDA, Triton, NKI, PyTorch, TensorFlow, LLVM

• 1mo

  System Administrator

  Ontario

  Contract

  M

  MGIS

  Candidates need solid experience administering Linux HPC clusters and job schedulers such as SLURM or PBS Pro. They also need GPU and CUDA troubleshooting skills, familiarity with compilers and MPI, and eligibility for a Secret clearance.

  SLURM, PBS Pro, Torque, SGE, Lustre, GPFS

• 1mo

  Senior Procurement Leader

  Calgary, AB

  RemoteFull Time

  

  Denvr Dataworks

  10+ YOECandidates need 10+ years of strategic sourcing or commercial leadership, ideally in data center, hyperscale cloud or enterprise IT hardware. They must have a record of negotiating multi-million-dollar contracts, strong financial modeling and TCO skills, and enough technical knowledge to discuss GPU and networking architectures.

  Procurement, HVAC, Negotiation, Economics, Leadership, Supply chain management

• 1mo

  Member of Technical Staff - Simulation

  Toronto, ON

  HybridFull Time

  

  Veeda AI

  Candidates need a bachelor's degree or equivalent hands-on experience in computer science, computer graphics, robotics, or a related field. Veeda AI expects experience building a physics engine or simulation framework, strong C++ and Python, and GPU programming in CUDA or NVIDIA Warp.

  Isaac Lab, CARLA, MuJoCo, PhysX, Newton, OpenUSD

• 1mo

  Senior Data Center Operations Systems Engineer (Quebec City, Canada)

  Québec, QC

  $83k–$125k/yrOn-siteFull Time

  

  Lambda

  3+ YOECandidates need solid experience with critical data center infrastructure such as power distribution, cabling and DCIM software, plus knowledge of fiber testing, server boot processes and power theory. Three or more years in data center infrastructure and Linux administration are preferred.

  DCIM software, JIRA, Zendesk, Linux

• 1mo

  Site Reliability Engineer

  Toronto, ON

  $125k–$250k/yrOn-siteFull Time

  

  Boson AI

  4+ YOECandidates need 4+ years in site reliability, infrastructure or systems engineering, with strong hands-on expertise in networking, cluster allocation, Ceph storage, GPU and server administration, or AI infrastructure. Strong Linux and scripting skills and clear communication with a distributed team are required.

  Kubernetes, SLURM, MAAS, Ceph, InfiniBand, Terraform

• 1mo

  Concepteur logiciel systèmes C++ senior / Senior C++ Systems Software Designer

  Montréal, QC

  On-siteFull Time

  

  Syntronic

  Solide expérience du développement C++ en production; C++11, C++14 ou version ultérieure; Programmation systèmes Linux et/ou RTOS

  C++, Linux, RTOS, ARM, x86

• 1mo

  Staff GPU Inference SDET

  Toronto, ON

  HybridFull Time

  

  Cerebras Systems

  8+ YOECerebras Systems needs 8+ years of software test or infrastructure quality experience. Candidates must have hands-on GPU cluster bring-up experience, knowledge of LLM serving engines, expert Python and strong Kubernetes, Slurm or Ray skills.

  Python, Kubernetes, Slurm, Ray, Prometheus, Grafana

15 companies