Anyscale jobs

Forward Deployed Engineer at Anyscale (distributed computing/Ray platform) partnering with strategic customers on deployments and enterprise adoption. Based in San Francisco with required frequent onsite work and extended customer embedding; role focuses on proof-of-value engagements, demos, and customer enablement rather than product engineering. Salary $267k–$287k; requires 5+ years customer-facing and Ray technical experience.

Anyscale is seeking a Software Engineer to join the Infrastructure team, which builds the control plane and data plane systems powering Ray, an open-source distributed computing platform used by OpenAI, Uber, and Spotify. The role involves designing and optimizing cloud-native infrastructure for orchestrating Ray clusters, including control plane services, intelligent scheduling systems, container management, and accelerator integration across AWS/Azure/GCP and Kubernetes environments. Required qualifications include a CS degree or equivalent, 3+ years of production coding experience, hands-on expertise with distributed systems and Kubernetes, proficiency in Go and Python, deep knowledge of cloud networking/security, and familiarity with Linux kernel fundamentals and observability tools like Prometheus. Anyscale is well-funded ($250M+) by top-tier VCs and is backed by real adoption from major AI companies. This is a high-impact role working directly on infrastructure powering production AI workloads at scale, with opportunities to contribute to both open-source Ray and proprietary products. The position requires on-call support and close collaboration with customers on troubleshooting infrastructure issues.