Emplois “cloud GPU infrastructure” au Canada – Page 11

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• 1 mois

  ML Systems Performance Engineer

  Canada

  Temps plein

  

  Cerebras Systems

  3+ ansCandidates 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

  1 mois

  Software Engineer, GPU Inference

  Toronto, ON

  Sur placeTemps plein

  

  Cerebras Systems

  5+ ansCerebras 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

  1 mois

  Staff Software Engineer, Inference Platform

  Toronto, ON

  Sur placeTemps plein

  

  Cerebras Systems

  8+ ansCandidates 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++

• 1 mois

  Strategic Partnerships Manager

  Télétravail au Canada

  Télétravail

  

  FirstPrinciples

  3+ ansCandidates 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

• 1 mois

  Senior Distributed ML Engineer

  Montréal, QC

  

  LawZero

  3+ ansCandidates 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

• 1 mois

  Product Manager, Inference Platform

  Toronto, ON

  TélétravailTemps plein

  

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

  10+ ansCohere needs a product leader with 10+ years of product management, including owning a B2B infrastructure product and carrying a revenue line or P&L. Experience at a neocloud or hyperscaler, and the ability to lead across teams without formal authority, are also needed.

  Procurement, Regulatory compliance, Sales, Research, Technical writing, AWS

  1 mois

  Engineering Manager, FDE Infrastructure (NORAM)

  Télétravail au Canada

  320k–385k $/anTélétravailTemps plein

  

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

  5+ ansCandidates 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

  1 mois

  Software Engineer, Data Infrastructure

  Toronto, ON +1

  TélétravailTemps plein

  

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

  Candidates need strong storage fundamentals such as replication, consistency and caching, strong coding in Python or Go, and experience running stateful systems on Kubernetes. Hands-on work with cloud object storage like S3 and POSIX filesystems is also required.

  Kubernetes, S3, Weka, VAST, Lustre

  1 mois

  Staff Software Engineer, Inference Infrastructure

  Toronto, ON +1

  HybrideTemps plein

  

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

  5+ ansCandidates 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

• 1 mois

  Staff DevOps Engineer

  Toronto, ON

  TélétravailTemps plein

  

  Nexxa.AI

  6+ ansCandidates need 6+ years in DevOps, SRE or platform engineering, with hands-on production experience in cloud platforms, Kubernetes, infrastructure-as-code and CI/CD. Strong observability, scripting, incident leadership and project-leading skills are also required.

  Kubernetes, Terraform, Pulumi, GitHub Actions, GitLab CI, CircleCI

5 entreprises