Remote Research Engineer Gpu Performance Jobs

We’re looking for research engineers who have built demanding ML or distributed systems, can debug across the stack, and want to work closely with researchers

Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.

We are researchers, engineers, and operators. IOI medalists and ex-founders.

working with Kubernetes Strong technical background, with knowledge of AI, ML, GPU technologies and their integration into high-performance

We built a serverless runtime that launches GPU-backed containers in less than 1 second and quickly scales out to thousands of GPUs.

The right person can set a clear research roadmap, manage and scale a high-performing team, partner across Product, Engineering, GTM, and Leadership, and translate

Strong leadership, coaching, and performance management; ability to grow engineers and build a healthy, accountable, high-ownership team.

We’re looking for research engineers who can build reliable data and evaluation systems, question what a metric actually tells us, and work closely with researchers

You have an excellent understanding of GPU’s handling large workloads GPU workloads are different from traditional CPU workloads in very interesting

We are researchers, engineers, and operators. IOI medalists and ex-founders.

Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.

GPU clusters.

You will directly be working with our Engineering Lead and a team of product, infrastructure and security engineers.

You will directly be working with our Engineering Lead and a team of product, infrastructure and security engineers.

This role is ideal for engineers who thrive at the intersection of reliability, performance, and engineering velocity.