Member of Technical Staff, Training Performance Engineer
Hybrid (London), Hybrid (New York), Hybrid (Paris), Hybrid (Toronto), Hybrid (Montreal)CA$295k - CA$535kFull-timePosted 11mo ago
About the role
Performance-focused role within Cohere’s Pre-Training team, optimizing large language model training performance, throughput, and accelerator utilization through software engineering, low-level kernels, and profiling tooling.
Responsibilities
- Design and write high-performant and scalable software for training.
- Understand architectural modifications and design choices and their effects on training throughput and quality.
- Write low-level CUDA, triton kernels to squeeze every last bit of performance from our accelerators.
- Research, implement, and experiment with ideas on our supercompute and data infrastructure.
- Learn from and work with the best researchers in the field.
Qualifications
- Extremely strong software engineering skills.
- Proficiency in Python and related ML frameworks such as JAX, Pytorch and XLA/MLIR.
- Experience writing kernels for GPUs using CUDA, triton, etc
- Experience using large-scale distributed training strategies.
- Familiarity with autoregressive sequence models, such as Transformers.
Skills
Required:Software engineeringPythonGPU kernel developmentDistributed trainingTransformers / autoregressive models
Benefits
- A weekly lunch stipend of $75/£75 or equivalent in local currency.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits: arts & culture, fitness/wellness, quality time, workspace improvement credit; education & learning stipend.
- 6 weeks of paid vacation (30 working days).
- Budget for travelling to other offices if remote, plus an annual company offsite.
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Cohere
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