"gpu programming" Jobs
191 open tech roles matching “gpu programming”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Kubernetes, Python, AI/ML. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 191 results
Join Genmo as a GPU Performance Engineer to optimize video generation models and achieve significant performance improvements.
Join CoreWeave as a Senior Engineer to optimize GPU kernels for high-performance AI applications in a rapidly growing environment.
Join Fundamental as a Senior Applied Research Engineer to tackle technical challenges in AI model development for enterprise decision-making.
Join Kodiak Robotics as a Senior AI Infrastructure Engineer to optimize model training for autonomous technology.
Join Cursor as a Technical Program Manager to drive infrastructure efficiency and resource allocation in a dynamic startup environment.
Join World Labs as a Performance Engineer to optimize AI models for speed and efficiency in a cutting-edge research environment.
Design and build secure, high-performance environments for Kubernetes workloads as a Senior Software Engineer II at CoreWeave.
Join Graphcore as a Senior Software Engineer to optimize AI hardware and software performance in a collaborative environment.
Join Periodic Labs as an ML Systems Engineer to build and optimize large-scale training and reinforcement learning infrastructure.
Lead validation strategy and execution for advanced AI compute silicon and systems at Graphcore.
Lead advancements in physics simulation for robotics at Skild AI, contributing to innovative projects in a dynamic startup environment.
Join Periodic Labs as a Computational Scientist to develop differentiable simulations for continuum-physics problems using AI.
Design and implement low-level systems software for GPU clusters in a pioneering AI infrastructure company.
Join fal as a senior software engineer to build large-scale distributed systems for AI products.
Own end-to-end program delivery for GPU and data center infrastructure at a rapidly growing AI infrastructure company.