"high performance computing" Jobs
4718 open tech roles matching “high performance computing”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, Kubernetes, C++. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 4718 results
Join SpaceX as a Sr. HPC Systems Engineer to manage HPC clusters and support engineering teams in a fast-paced environment.
Join SpaceX as a Sr. HPC Systems Engineer to manage HPC clusters and support engineering teams in a fast-paced environment.
Join Watershed Informatics as a High Performance Computing Engineer to enhance digital drug discovery through high performance applications.
Lead performance work to optimize AI workloads across distributed systems at Graphcore in Milpitas.
Join CuspAI as a Performance Engineer to optimize AI models and high-performance computing infrastructure for materials discovery.
Join Sarvam AI as a Senior Performance Engineer to optimize GPU kernels for high-performance ML systems.
Join SpaceX as a Site Reliability Engineer to enhance high-performance computing capabilities for advanced aerospace engineering.
Join Clockwork Systems as a Senior HPC Developer to optimize high-performance RDMA networking and storage systems for AI and HPC.
Design and deliver multi-petabyte storage systems for AI workloads at Together AI, optimizing performance and cost.
Operate and optimize multi-petabyte storage systems for AI workloads at Together AI.
Lead performance investigations for large-scale AI systems at Graphcore in Austin.
Join Genmo as a GPU Performance Engineer to optimize video generation models and achieve significant performance improvements.
Join Perplexity as a Strategic Finance Lead to optimize GPU compute investments and drive capacity decisions in a fast-paced environment.
Join Reflection AI's Compute Platform team to enhance multi-cloud scheduling and GPU infrastructure in a mission-driven environment.
Characterize and improve GPU performance for AI inference at Gimlet Labs, working with a heterogeneous accelerator fleet.