TL;DR

AI Compiler Engineer (AI): Designing and implementing compiler infrastructure for high-performance kernels on %hirify_global% deep learning accelerators/GPUs, with an accent on MLIR-based compiler development and performance improvements. Focus on bridging advanced compiler technology with systems optimization and enabling domain-specific performance across heterogeneous architectures.

Location: On-site in Hillsboro, Oregon or San Jose, California, US

Salary: $195,200.00–$275,580.00 USD (Annual)

Company

%hirify_global% is a leading technology corporation that develops broad-market Xeon-based solutions and custom x86-based products, focusing on AI-accelerated systems within its Data Center Group.

What you will do

Contribute to the development of an MLIR-based compiler.
Drive performance improvements on %hirify_global% deep learning accelerators/GPUs.
Design and implement compiler infrastructure to generate high-performance kernels for AI and machine learning.
Bridge advanced compiler technology with systems optimization.
Enable domain-specific performance across heterogeneous architectures (GPUs and accelerators).

Requirements

Bachelor's degree with 6+ years, Master's with 3+ years, or PhD with 1+ year in Computer Science, Computer Engineering, Software Engineering, or a related field.
Years of experience mentioned above should be in C++ and modern software development practices.
1+ year of experience in high-performance computing or parallel programming, including vectorization, loop optimizations, and memory hierarchy optimization.
1+ year of experience in development on Linux.

Nice to have

Strong experience with compiler design and middle-end optimizations, preferably using MLIR and LLVM.
Experience with code generation, performance analysis, and tuning for hardware accelerators.
Knowledge of dataflow graphs, IR transformation, and optimization techniques.

Culture & Benefits

Competitive total compensation package including pay, stock bonuses, health, retirement, and vacation.
Opportunity to work within the Data Center Group, committed to delivering exceptional products.
Contribute to transforming the data center segment through workload-driven leadership products and close collaboration with partners.