Anyscale

Platform Engineer

• Lead the technical vision for the Infrastructure team
• Drive the architectural evolution of the control plane and data plane
• Define and drive the multi-year technical roadmap for services orchestrating Ray clusters across diverse cloud and on-premises environments
• Lead the design and optimization of high-performance control plane components for large-scale, heterogeneous AI/ML workloads
• Establish organization-wide standards for reliability, scalability, and observability of Anyscale-managed infrastructure
• Direct the long-term strategy for GPU and TPU accelerator integration and container management
• Lead complex design and architecture discussions
• Resolve deep technical debt and ensure engineering excellence across the organization
• Partner with ML experts and customer-facing teams to translate market needs into infrastructure foundations
• Mentor engineers and drive cross-functional alignment across the Ray open-source community and proprietary product teams

Staff Software Engineer, Platform Infrastructure

Full-stack Engineer

• Own a major technical area of Ray Core end to end
• Define the roadmap and identify the most important technical problems
• Drive execution through production
• Lead large, technically complex projects spanning multiple engineers, teams, and/or organizations
• Set technical direction and make architectural decisions for distributed computing infrastructure
• Design, build, and evolve core distributed-systems primitives
• Work on distributed execution, scheduling, resource management, fault tolerance, concurrency, networking, storage, and system performance problems
• Stay hands-on with implementation and debugging in a systems-oriented codebase
• Raise the technical bar for surrounding engineers
• Shape the longer-term architecture and evolution of Ray Core as workloads and scale grow

Staff Software Engineer, Platform Infrastructure

Staff Software Engineer, Ray Core