Compiler Engineer (AI)

Location: Hybrid in Mountain View, United States

Salary: $200K–$300K plus equity

Company

hirify.global is an applied AI company building foundational hardware and software for the semiconductor industry, AI infrastructure, and systems computing.

What you will do

• Build compiler passes that transform lowered programs into code executed by custom AI hardware.
• Own scheduling, memory planning, fusion, and dispatch for large-model inference, optimizing utilization and end-to-end latency.
• Design compiler approaches from first principles for hardware that does not follow conventional CPU or GPU architectures.
• Co-design compiler and hardware abstractions, providing constraints and feedback to hardware architects while the chip design evolves.
• Validate optimizations using simulators, FPGA prototypes, and silicon, and maintain a trusted performance regression suite.
• Coordinate with frontend compiler engineers to determine which operations are compiler-generated and which use hand-tuned kernels.

Requirements

• Deep experience with compiler optimization or code generation for accelerators or other non-CPU targets, including scheduling, tiling, fusion, or resource allocation.
• Comfort working close to hardware and reasoning about memory bandwidth, utilization, and asymptotic complexity.
• Willingness to design compilation approaches from first principles when existing approaches do not fit the hardware.
• Track record of shipping optimizations that improved a measured performance metric.
• Experience building software for evolving hardware, from simulation through bring-up.
• Fluency in Python and familiarity with C, C++, or Rust.

Nice to have

• Experience with PyTorch's compilation stack, including TorchDynamo, FX, Inductor, or torch.export, or with ML compilers such as IREE, TVM, or XLA.
• Experience compiling for in-memory, spatial, or other non-von-Neumann compute targets.
• Background in hardware design tools such as logic synthesis or place-and-route.
• Experience building or using cycle-level or performance simulators to guide optimization.
• Open-source contributions to compiler or kernel infrastructure such as PyTorch, Triton, TVM, MLIR, or LLVM.
• Publications or presentations on compiler or performance work at venues such as MLSys, ASPLOS, or CGO.

Culture & Benefits

• Hybrid work based in Mountain View.
• Competitive and equitable compensation with base salary, performance-based incentives, benefits, and equity.
• Collaboration across offices in New York City, Silicon Valley, London, Copenhagen, and Seoul.
• Inclusive workplace with equal employment opportunities and reasonable disability accommodations.