"ml hardware accelerators" Jobs
17 open tech roles matching “ml hardware accelerators”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, Kubernetes, TPU. Every listing is re-checked daily and closed roles are removed.
Showing 17 of 17 results
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 end-to-end execution of custom silicon for AI systems at Anthropic, driving external partnerships and program management.
Join Anthropic as a Staff Engineer to lead the technical direction of the Inference Runtime for AI systems serving millions of users.
Join Anthropic as a Performance Engineer to optimize AI inference systems for throughput, latency, reliability, and correctness.
Join Anthropic as a Research Engineer to advance AI models' silicon design capabilities within a hybrid work environment.
Lead a team building and operating Kubernetes infrastructure on bare metal for high-performance AI and ML workloads.
Lead a team of engineers to optimize Anthropic's inference infrastructure for AI systems.
Join Roboflow as a Machine Learning Engineer to enhance our inference engine and contribute to impactful computer vision projects.
Lead a team to build Anthropic's scheduling platform and improve fleet efficiency in a fast-paced AI environment.
Lead the development of detection models to identify automated and malicious activity across Internet-scale data.