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Site Reliability Engineer, Inference Infrastructure

Cohere · Toronto · San Francisco · New York · Montreal

CHECKED 2H AGO

Frontier labremotesenior$160k–$260k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build self-service systems powering Cohere's LLM API platform.
  • Deploy optimized NLP models for low-latency high-throughput serving.
  • Create customized model deployments directly with enterprise customers.

What they offer

  • Weekly $75 lunch stipend
  • Full health and dental benefits including mental health budget
  • RRSP matching, 401K and pension scheme
  • 100% parental leave top-up for up to 6 months
  • 6 weeks paid vacation
  • Annual enrichment, education and wellness stipends
  • $500 home office stipend and co-working benefit

Ideal candidate

Seasoned infrastructure engineer energized by reliable, high-performance ML systems who thrives on automation, ownership, and collaborating across teams to solve evolving production challenges.

Requirements

  • 5+ years of engineering experience running production infrastructure at a large scale
  • Experience designing large, highly available distributed systems with Kubernetes, and GPU workloads on those clusters
  • Experience with Kubernetes dev and production coding and support
  • Experience with GCP, Azure, AWS, OCI, multi-cloud on-prem / hybrid serving
  • Experience designing, deploying, supporting, and troubleshooting in complex Linux-based computing environments
  • Experience in compute/storage/network resource and cost management
  • Excellent collaboration and troubleshooting skills to build mission-critical systems
  • Familiarity with computational characteristics of accelerators (GPUs, TPUs, and/or custom accelerators)
  • Strong understanding or working experience with distributed systems
  • Experience in Golang, C++ or other languages designed for high-performance scalable servers
remote policy
remote-friendly

Lab profile

About Cohere

Security-first enterprise AI company building frontier foundation models for business applications.

What they build

  • Command foundation models
  • Embed models
  • Rerank models

Known for

  • Security-first enterprise AI
  • Frontier model training and deployment
  • Business-focused end-to-end products

Key facts

  • Founded in 2019
  • Headquartered in Toronto, Canada
More about Cohere →
Apply on the lab’s site ↗