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Member of Technical Staff, Training Performance Engineer

Backend Developer • Remote • Vollzeit • 📍 London

Cohere's Pre-Training team is looking for a Performance Engineer to optimize training throughput and accelerator utilization, combining software engineering, machine learning and low-level kernel design to remove performance bottlenecks.

Responsibilities

  • Design and write high-performant, scalable software for training
  • Understand architectural modifications and design choices and their effect on training throughput and quality
  • Write low-level CUDA and Triton kernels to maximize accelerator performance
  • Research, implement and experiment with ideas on the supercompute and data infrastructure

Requirements

  • Extremely strong software engineering skills
  • Proficiency in Python and ML frameworks such as JAX, PyTorch and XLA/MLIR
  • Experience writing GPU kernels using CUDA, Triton, etc.
  • Experience using large-scale distributed training strategies
  • Familiarity with autoregressive sequence models such as Transformers

Nice to have

  • Paper at top-tier venues such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP

Soft skills

Deep curiosity for low-level performance optimizationWillingness to learn from leading researchersEffective collaboration across engineering and research

What we offer

  • Weekly lunch stipend ($75/£75 or local equivalent)
  • Full health and dental benefits, including a mental health budget
  • RRSP matching, 401(k) or pension scheme
  • 100% parental leave top-up for up to 6 months, for either parent
  • Annual enrichment benefits (arts & culture, fitness/wellness, workspace improvement credit)
  • Education & learning stipend for conferences, courses and coaching
  • 6 weeks of paid vacation (30 working days)
  • Travel budget to other offices plus an annual company offsite
  • $500 home office stipend and co-working benefit for remote employees

About the company

Cohere is a leading security-first enterprise AI company, building frontier foundation models and end-to-end AI products for real-world business problems. It is a global team co-headquartered in Toronto and San Francisco, with offices in London, New York City, Montreal, Seoul, Germany and Paris.

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