Senior Kernel & Compiler Performance Engineer (GPU/AI)

RadixArk; Palo Alto (CA); On-site; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits

Flexible work arrangements

Job summary

A cutting-edge AI company in California is looking for a Member of Technical Staff for Kernel/Compiler/Communication. This critical role requires strong expertise in CUDA and GPU optimization, along with 5+ years of experience in performance engineering. The ideal candidate will design high-performance kernels and optimize systems for large GPU clusters, contributing to the next generation of AI solutions. The company offers competitive compensation, equity, and a collaborative work environment.

Qualifications

• 5+ years of experience in systems, compiler, or performance engineering.
• Strong expertise in CUDA or accelerator programming.
• Deep understanding of GPU architecture and memory hierarchy.
• Experience writing or optimizing high-performance kernels.
• Strong background in compilers, runtimes, or code generation.

Responsibilities

• Design and implement high-performance kernels for AI workloads.
• Optimize compiler and runtime stacks for ML systems.
• Improve communication efficiency across large GPU clusters.
• Reduce latency and increase throughput for distributed workloads.
• Profile and eliminate system bottlenecks across the stack.

Skills

CUDA or accelerator programming

GPU architecture and memory hierarchy

C++

Python

Debugging and profiling skills at system level

Job description

A cutting-edge AI company in California is looking for a Member of Technical Staff for Kernel/Compiler/Communication. This critical role requires strong expertise in CUDA and GPU optimization, along with 5+ years of experience in performance engineering. The ideal candidate will design high-performance kernels and optimize systems for large GPU clusters, contributing to the next generation of AI solutions. The company offers competitive compensation, equity, and a collaborative work environment.