Full-stack Engineer

• Design and build APIs and runtime components to orchestrate computation and data movement across heterogeneous ML workloads.
• Contribute to compiler infrastructure, including the development of optimizations and compiler passes to support evolving hardware.
• Engineer and optimize compute and data kernels, ensuring correctness, high performance, and portability across simulation and production environments.
• Profile and optimize system bottlenecks, especially around I/O, memory hierarchy, and interconnects, at both local and distributed scales.
• Develop simulation infrastructure to validate runtime behaviors, test training stack changes, and support early-stage hardware and system development.
• Rapidly deploy runtime and compiler updates to new supercomputing builds in close collaboration with hardware and research teams.
• Work across a diverse stack, primarily using Rust and Python, with opportunities to influence architecture decisions across the training framework.

Software Engineer – Hardware

Senior Software Engineer – TS/SCI Polygraph

Software Engineer, Developer, Qualification Tools

Full Stack Engineer

Product Engineer

Forward Deployed Software Engineer