About this role
Join one of the fastest-growing start-ups tackling the hardest compiler problems in AI infrastructure. Are you a compiler engineer who is up for a challenge and enjoys working in a fast-paced environment? If yes, apply below.
About the role:
• You will own end-to-end compilation pipelines from high-level ML graph representations down to optimized target execution
• Get the opportunity to design and implement passes for operator fusion, memory layout transformation, and tiling across compute hierarchies
• You will build lowering infrastructure that bridges framework-level IR (MLIR, XLA, or equivalent) to hardware-specific backends
• You will be responsible for profiling and closing performance gaps between theoretical and achieved hardware utilization
• You will have the chance to collaborate directly with pioneering hardware architects to co-design compiler primitives that expose silicon capabilities
• You'll contribute to the tooling that lets researchers iterate fast without sacrificing production-level efficiency
Key requirements:
• You're experienced working with compilers, particularly on IR design or optimization passes
• You have strong proficiency in C++ and familiarity with Python
• You'll have experience building and shipping complex software systems.
• Possess a genuine interest in performance optimization for AI/ML workloads.
• You have a degree in Computer Science or Computer Engineering
Apply now as interviews are being scheduled.