“GPU compute” jobs in Canada – Page 10

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• 27d

  Presentation Software Engineer - EA SPORTS™ NHL (TFT)

  Vancouver, BC

  

  Electronic Arts

  3+ YOECandidates need 3+ years of professional software or game development experience and strong C++ skills. Electronic Arts also wants experience debugging production game engine systems, a bachelor's degree or equivalent, and good teamwork.

  C++, Frostbite, Python, C#, Lua

  28d

  Développeur.se principal.e de l’infrastructure / Lead Infrastructure Developer

  Vancouver, BC +1

  

  Electronic Arts

  8+ YOEElectronic Arts needs candidates with 8+ years running production infrastructure, deep hands-on AWS experience and experience operating GPU fleets of 1000+ GPUs. Strong scripting, Terraform and GPU scheduling skills are also required.

  AWS, Terraform, Kubernetes, Slurm, Grafana, Prometheus

  28d

  Développeur.se - opérations liées à l’apprentissage automatique / MLOps Developer

  Vancouver, BC

  

  Electronic Arts

  8+ YOEElectronic Arts needs candidates with 8+ years of engineering experience, 4+ years running ML systems in production, and strong Python skills. They should be comfortable with PyTorch and inference servers such as vLLM, SGLang or TensorRT-LLM, and have experience with distributed data processing, observability and AWS ML infrastructure.

  PyTorch, vLLM, SGLang, TensorRT-LLM, Ray, Spark

• 27d

  Machine Learning Engineer

  Toronto, ON

  HybridFull Time

  

  Invision AI

  Candidates need a track record of shipping production computer vision models, strong Python skills, and experience with PyTorch, TensorFlow or scikit-learn. Working knowledge of embedded systems and edge optimization is required, and candidates must be legally entitled to work in Canada.

  PyTorch, TensorFlow, scikit-learn, Docker, ONNX Runtime, TensorRT

• 27d

  Principal Cloud Architect

  Remote in Canada

  RemoteFull Time

  

  Fortive

  8+ YOECandidates need a B.S. in Computer Science or equivalent experience, 8+ years in cloud infrastructure or SRE work, and 5+ years of hands-on AWS architecture. Strong Terraform, Kubernetes, CI/CD, scripting and compliance (SOC 2, ISO 27001, GDPR) experience is required.

  AWS, Terraform, Kubernetes, Docker, GitHub Actions, Octopus Deploy

• 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

• 28d

  Forward Deployed Engineer (Generative AI)

  Remote in Canada

  RemoteFull Time

  

  Tiger Analytics Inc.

  Candidates need hands-on experience with LLM frameworks, vector databases, model serving and multi-cloud infrastructure, plus strong Python skills. Travel to client sites is required.

  Terraform, OpenTofu, Kubernetes, LangChain, LlamaIndex, AutoGen

• 28d

  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

• 28d

  Vice President, Data Centre Operations and Development

  Canada

  Full Time

  QD

  Qu Data Centres Limited Partnership

  15+ YOECandidates need 15+ years in data centre operations, critical facilities or construction leadership, including multi-site 24x7x365 operations. Strong financial acumen, experience building operating standards, and knowledge of colocation and high-density compute environments are required.

  DCIM, BMS, EPMS

• 28d

  Client Technical Solutions Lead, PathWise

  Toronto, ON +1

  

  Aon Corporation

  8+ YOECandidates need a bachelor's degree or equivalent in an analytical field and more than 8 years of quantitative, actuarial, data science or technical client-facing experience. Strong Python skills, clear communication and the ability to coordinate across teams are essential, and C# or C++ is an asset.

  Python, C#, C++, GPU-enabled processing

• 28d

  Account Executive - Greenfield - Toronto

  Toronto, ON

  

  CoreWeave

  7+ YOECandidates need 7+ years of B2B sales, including 3+ years selling to enterprises of 5,000+ employees and 3+ years selling developer tools, cloud infrastructure or AI software. A proven record of self-sourced pipeline and closing new logos is required.

  ML, Presentation skills, Sales, Negotiation, Procurement, Forecasting

• 28d

  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

  28d

  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

  28d

  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

• 28d

  Lead Machine Learning Engineer

  Montréal, QC +4

  RemoteFull Time

  

  Serve Robotics: Serve Robotics (NASDAQ:SERV) develops advanced, AI-powered, low-emissions sidewalk delivery robots that endeavor to make delivery sustainable and…

  5+ YOECandidates need a Master's or PhD in a technical field and at least 5 years of experience training and deploying machine learning models in production. Strong Python skills and hands-on experience training models across multiple GPUs or nodes are required.

  Python, GPU clusters

• 28d

  Software Engineer New Grad, Machine Learning Platform - Quora (Remote)

  Remote in Canada

  RemoteFull Time

  

  Quora

  Quora needs a 2025 or 2026 graduate with or pursuing a technical degree. Candidates should know Python, Go or C++, or learn them quickly, and show genuine interest in large-scale systems and machine learning. Availability during Quora's Pacific-time coordination hours is required.

  PyTorch, Kubernetes, NVIDIA Triton, Ray, AWS, Docker

• 28d

  Frontend 3D Visualization Developer

  Remote in Canada

  RemoteFull Time

  SA

  Stratum AI

  Candidates need expert WebGL and 3D graphics skills, strong JavaScript or TypeScript, and experience with a modern frontend framework. Experience with shader programming, spatial data structures and performance profiling is required, and GIS or CAD experience is a plus.

  Three.js, Babylon.js, WebGL, D3.js, Plotly

  28d

  Machine Learning Ops Engineer

  Remote in Canada

  RemoteFull Time

  SA

  Stratum AI

  3+ YOECandidates need 3+ years of industry experience, advanced Python and deep learning skills, and MLOps and data engineering experience. Experience with cloud services, containers, and working autonomously in a startup remotely is also required.

  Python, PyTorch, Kubernetes, Docker, Singularity, AWS

• 28d

  Software Engineer - Inference Platform

  Toronto, ON +1

  HybridFull Time

  

  Baseten

  3+ YOECandidates need 3+ years building distributed systems or large-scale backend APIs, with experience in low-latency services, observability and performance profiling. Kubernetes, GPU workloads and LLM inference experience are assets, but prior ML experience is not required.

  Kubernetes, GPU, vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo

  28d

  Software Engineer - Inference Performance

  Toronto, ON +1

  HybridFull Time

  

  Baseten

  Candidates need a bachelor's, master's or PhD in a technical field, experience with Python or C++, and familiarity with LLM optimization and ML libraries such as PyTorch or TensorRT. They also need a deep understanding of GPU architecture and demonstrated interest in LLMs.

  PyTorch, TensorRT, TensorRT-LLM, vLLM, SGLang, CUDA

  28d

  Software Engineer - Voice AI (Inference Runtime)

  Toronto, ON +1

  HybridFull Time

  

  Baseten

  Baseten needs a bachelor's degree or higher in Computer Science or a related field and a track record running production real-time systems where tail latency matters. Strong coding skills in a popular language, collaboration skills, and daily use of AI coding assistants are also required.

  Python, PyTorch Profiler, vLLM, TensorRT, ONNX, Docker

  28d

  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

  28d

  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 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

14 companies