Engineering Manager, GPU Infrastructure & Platforms

cohere

United States

Hybrid

USD 180,000 - 240,000

Full time

14 days+

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Benefits offered by this job

Lunch stipend
Health & dental benefits
RRSP/401K matching
Parental leave
Education stipend
6 weeks vacation
Remote/office flexibility
Home office stipend

Job summary

Cohere is seeking an Engineering Manager to lead a team focused on GPU infrastructure and scalable AI deployment. You will shape the technical roadmap, mentor engineers, and partner with researchers and cloud providers in a remote-first environment.

You should have a track record building HPC/ML infrastructure, Kubernetes at scale, and strong leadership. This role offers meaningful impact on frontier AI with a collaborative culture and flexible work options.

Qualifications

  • Experience leading engineering or SRE teams with mentorship and growth.
  • Strong communication skills to translate complex concepts.
  • Ability to make data-informed decisions under pressure.

Responsibilities

  • Lead and mentor a team of engineers specializing in GPU infrastructure and scalable AI workloads.
  • Define and execute the technical roadmap for GPU cluster deployment and optimization.
  • Oversee workload scheduling, hardware fault detection, and performance optimization systems.
  • Collaborate with cloud providers and researchers to adapt training/inference stacks and ensure reliability and security.

Skills

Engineering Leadership
Remote collaboration
Data-driven decisions
Team mentorship

Education

Experience managing engineering/SRE teams

Tools

Kubernetes
Prometheus
Grafana
Terraform
ArgoCD

Job description

Cohere is seeking an Engineering Manager to lead a team focused on GPU infrastructure and scalable AI deployment. You will shape the technical roadmap, mentor engineers, and partner with researchers and cloud providers in a remote-first environment.

You should have a track record building HPC/ML infrastructure, Kubernetes at scale, and strong leadership. This role offers meaningful impact on frontier AI with a collaborative culture and flexible work options.

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