"hardware accelerators" Jobs
96 open tech roles matching “hardware accelerators”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, Kubernetes, AI/ML. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 96 results
Join Anthropic as a Performance Engineer to optimize the inference engine for AI systems at scale.
Join Anthropic as a Hardware Systems Architect to lead the design and architecture of cutting-edge AI hardware systems.
Join Anthropic as a Software Engineer specializing in ML Networking, focusing on network infrastructure and optimization.
Own the execution of hardware systems from concept through production deployment in a fast-paced AI environment.
Join Anthropic as a Staff Engineer to lead the technical direction of the Inference Runtime for AI systems serving millions of users.
Own the end-to-end execution of custom silicon for AI systems at Anthropic, driving external partnerships and program management.
Join CoreWeave as a senior Hardware Engineer to optimize server infrastructure and collaborate with cross-functional teams.
Join Anthropic as a Performance Engineer to optimize AI inference systems for throughput, latency, reliability, and correctness.
Manage and optimize hardware labs to support various teams and projects at Anthropic, ensuring functionality and readiness.
Join CoreWeave as a Senior Firmware Engineer to design and maintain FPGA-based platform functionality for next-generation AI compute systems.
Join Anthropic's Inference team to design and maintain distributed systems that serve AI models to millions of users worldwide.
Join Anthropic as a Staff Software Engineer to enhance deployment infrastructure for AI systems in a collaborative environment.
Join Anthropic's Inference team to design and maintain distributed systems serving AI models to millions globally.
Join CoreWeave as a Senior Software Engineer to build software for managing large-scale GPU data center infrastructure.
Join CoreWeave as a Staff Software Engineer to build and operate Go-based services for large-scale GPU data center infrastructure.