Compiler Engineer

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Compiler Engineer - AI Hardware - Hybrid from Mountain View, CA

Acceler8 Talent is seeking an experienced Compiler Engineer to join a well‑funded startup based out of Mountain View whose hardware promises to drastically change the economics of AI compute for the latest and most demanding models.

As a Compiler Engineer, you will join a world‑class team with a track record of shipping highly successful products, playing a pivotal role in building the compiler stack that unlocks the full performance of next‑generation AI accelerators. You will work across the entire compiler lifecycle, taking hardware from architectural intent to performant, production‑quality software running on real silicon.

• Design and deliver backend compiler infrastructure targeting custom AI accelerators using LLVM and MLIR
• Own and develop lowering pipelines, IR dialects, optimizations, and code generation from high‑level representations down to hardware‑specific execution
• Build and maintain compiler models and performance tooling to analyze, optimize, and validate architectural and compiler trade‑offs
• Collaborate closely with hardware architects, micro‑architects, RTL, verification, and system software teams to co‑design hardware and compiler features
• Support bring‑up and performance debugging on pre‑silicon and post‑silicon platforms, translating real hardware behavior back into compiler improvements

• M.S. or Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, or related field with 5+ years of experience in compiler development or related systems software
• Proven experience building LLVM‑and/or MLIR‑based compilers, including custom passes, dialects, and backend code generation
• Strong proficiency in C++ or Rust, with experience in Python
• Excellent knowledge of low‑level systems concepts and hardware‑software interfaces
• Track record of delivering production compiler technology for ML, AI accelerators, GPUs, CPUs, or other performance‑critical systems
• Experience debugging performance and correctness issues across the compiler, runtime, and hardware stack in collaboration with architecture, silicon, and software teams

If you're interested in building the future of AI compute, apply here or reach out to me at to discuss further.

Mid‑Senior level

Full‑time

Engineering and Science

Computer Hardware Manufacturing, Semiconductor Manufacturing, and Computers and Electronics Manufacturing