“NVIDIA Nsight Compute” jobs in Canada

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• 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

  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

  27d

  Software Engineer - GPU Kernels

  Toronto, ON +1

  HybridFull Time

  

  Baseten

  Candidates need a strong understanding of GPU architecture and memory hierarchy, proficiency in C++ and GPU profiling tools, and knowledge of the CUDA C++ API, numerical precision and modern GPU features. Experience with Transformer models, Flash Attention, Cutlass, Triton or GEMM tuning is a plus.

  CUDA, PTX, Nsight Systems, Nsight Compute, Torch Profiler, Cutlass

• 27d

  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

• 29d

  3D Programming Team Lead (March of Giants)

  Montréal, QC

  On-siteFull Time

  

  Ubisoft

  7+ YOECandidates need a computer science degree or equivalent, at least 7 years of programming experience, and deep knowledge of GPU architecture and low-level 3D APIs such as DirectX or Vulkan. Strong communication and experience with Unreal Engine 5 or a similar engine are expected.

  Unreal Engine 5, DirectX, Vulkan, RenderDoc, NVIDIA Nsight

• 29d

  Senior Platform Engineer

  Toronto, ON

  Q

  Quantiphi

  8+ YOECandidates need 8+ years of experience with Slurm, OpenShift or Kubernetes, the NVIDIA GPU stack, Linux performance tuning, and Infrastructure-as-Code tools such as Terraform. Hands-on experience deploying GenAI workloads and working with cloud or on-prem GPU environments is also required.

  Slurm, OpenShift, Kubernetes, Terraform, Helm, Ansible

• 29d

  Senior / Staff ML Training Optimization Engineer

  Toronto, ON

  HybridFull Time

  

  Waabi

  4+ YOECandidates need a Bachelor's, MS or PhD in computer science, robotics or a similar field, plus at least 4 years of industry experience. Strong coding in Python, C++ or Rust, deep learning experience with PyTorch or JAX, and skill profiling CPU and GPU code are required.

  PyTorch, JAX, CUDA, NVIDIA Nsight, PyTorch Profiler, Bazel

  29d

  Senior / Staff ML Onboard Optimization Engineer

  Toronto, ON

  HybridFull Time

  

  Waabi

  6+ YOEWaabi needs candidates with a Bachelor's, Master's or PhD in Computer Science, Robotics or a similar field and at least 6 years of industry experience. They should code well in Python, C++ or Rust, know deep learning frameworks like PyTorch, and be skilled at profiling CPU and GPU code.

  TensorRT, modelopt, CUDA, PyTorch, PyTorch Profiler, NVIDIA Nsight

• 29d

  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

7 companies