Senior Software Engineer, GPU Infrastructure (HPC)

Cohere
Berlin, Germany
Full Time
Remote
Senior
USD 200,000 – 285,000
Technology Information Technology Telecommunications

Posted 1 month ago

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Excellent 4.7

Job summary

The role involves building, scaling, and optimizing GPU/TPU HPC infrastructure for AI workloads, working closely with researchers to support training and evaluation of foundational models. Key tasks include deploying large-scale Kubernetes clusters, troubleshooting system issues, and driving innovation through automation and best practices.

Responsibilities

You will build and scale ML-optimized HPC infrastructure using Kubernetes to support AI model training across multiple clouds. Additionally, you will collaborate with researchers to optimize performance and provide self-service tools for debugging and monitoring training jobs.

Qualifications

Distributed training frameworks Go GPU infrastructure High-performance computing Kubernetes Linux internals ML infrastructure optimization Python RDMA networking Systems engineering

Candidates must have deep expertise in ML/HPC infrastructure, including experience with GPU/TPU clusters and distributed training frameworks. Proficiency in Python and Go, along with strong knowledge of Linux internals and Kubernetes at scale, is required.

English

Benefits

  • Health insurance
  • Dental benefits
  • Mental health budget
  • RRSP matching
  • 401k
  • Pension scheme
  • Parental leave
  • Arts and culture stipend
  • Fitness and wellness stipend
  • Education and learning stipend
  • Paid vacation
  • Home office stipend
  • Lunch stipend

Company

Cohere

Cohere

linkedin
Software Development
Location
Berlin, Germany
Website
cohere.com

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Excellent 4.7
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