About the role
We’re looking for a senior engineer to help build, maintain and evolve the training framework that powers our frontier-scale language models. This role sits at the intersection of large-scale training, distributed systems, and HPC infrastructure. You will design and maintain the core components that enable fast, reliable, and scalable model training — and build the tooling that connects research ideas to thousands of GPUs.
Responsibilities, requirements, fit, evidence and preparation are organized here. The original posting stays available for final verification.
What you’ll do
- Build and own the training framework responsible for large-scale LLM training.
- Design distributed training abstractions (data/tensor/pipeline parallelism, FSDP/ZeRO strategies, memory management, checkpointing).
- Improve training throughput and stability on multi-node clusters (e.g., GB200/300, AMD, H200/100).
- Develop and maintain tooling for monitoring, logging, debugging, and developer ergonomics.
- Collaborate closely with infra teams to ensure our cluster, container environments, and hardware configurations support high-performance training.
- Investigate and resolve performance bottlenecks across the ML systems stack.
- Build robust systems that ensure reproducible, debuggable, large-scale runs.
What they’re looking for
Select a requirement to inspect fit, evidence or application context.
- Strong engineering experience in large-scale distributed training or HPC systems.
- Deep familiarity with JAX internals, distributed training libraries, or custom kernels/fused ops.
- Experience with multi-node cluster orchestration (Slurm, Ray, Kubernetes, or similar).
- Comfort debugging performance issues across CUDA/NCCL, networking, IO, and data pipelines.
- Experience working with containerized environments (Docker, Singularity/Apptainer).
- A track record of building tools that increase developer velocity for ML teams.
- Excellent judgment around trade-offs: performance vs complexity, research velocity vs maintainability.
- Strong collaboration skills — you’ll work closely with infra, research, and deployment teams.
- Any of the following would also be good to have for this role:
- Experience with training LLMs or other large transformer architectures.
- Contributions to ML frameworks (PyTorch, JAX, DeepSpeed, Megatron, xFormers, etc.).
- Familiarity with evaluation and serving frameworks (vLLM, TensorRT-LLM, custom KV caches).
- Experience with data pipeline optimization, sharded datasets, or caching strategies.
- Background in performance engineering, profiling, or low-level systems.
- Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
Conditions
- Full-Time Employees at Cohere enjoy these Perks: A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
How they work
- We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul.
- Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement.
- 6 weeks of paid vacation (30 working days!) Budget for traveling to other offices if you are remote, plus an annual company offsite.
- How and Where We Work: Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
How to apply
- If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
- Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process.
- All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias.
Benefits & working conditions
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- 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, and a workspace improvement credit.
- Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
About Cohere
✓ Verified
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris.
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