Member of Technical Staff, Hardware, Compiler Engineer (AI)

Location: Based in Austin, Texas or Palo Alto, California, United States

Annual salary: $200,000–$420,000 USD

Company

hirify.global develops personal AI systems spanning local-inference hardware, custom training infrastructure, user interfaces, and deep learning research.

What you will do

• Design compiler passes that lower PyTorch models to custom hardware using MLIR dialects and LLVM frameworks.
• Develop the backend toolchain for custom silicon, including instruction scheduling, register allocation, and hardware-specific code generation.
• Implement tiling and fusion strategies to improve bandwidth utilization and reduce on-chip memory movement.
• Integrate high-performance Triton/CUDA-like kernels into the automated compiler flow.
• Profile compiler performance, identify compilation gaps, and implement targeted optimizations.
• Collaborate with AI researchers, modelers, performance engineers, RTL teams, and silicon architects on hardware-software co-design and custom ISA changes.

Requirements

• Bachelor’s degree in Electrical Engineering or Computer Engineering and 5+ years of practical industry experience with advanced process nodes of 7nm or below.
• Deep hands-on experience with MLIR or XLA for deep learning workloads.
• Expert understanding of PyTorch internals and integration with external backends.
• Proficiency in modern C/C++ for scalable, high-performance compiler infrastructure.
• Advanced knowledge of computer architecture and the programming model of at least one chip type, such as SoCs, CPUs, GPUs, or AI accelerators.
• Collaborative approach to compiler, hardware, and software co-design.

Nice to have

• Experience with post-silicon firmware and model update patches.
• Experience defining custom dialects, lowering passes, and graph rewrites in an LLVM-based ecosystem.
• Knowledge of static and runtime environments, including JITs and ABIs.

Culture & Benefits

• Visa sponsorship is available, subject to candidate and role fit.
• Relocation support is provided as needed.
• Health, dental, and vision benefits.
• Unlimited paid time off.
• Collaboration across AI research, performance engineering, hardware, RTL, and architecture teams.