Startups · AI

Member of Technical Staff — Inference-Kernel, Compiler & Communication

RadixArk · Palo Alto, CA · On-site

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About RadixArk

RadixArk builds large-scale inference and training systems for the entire AI community, making frontier-level AI infrastructure open and accessible. Backed by Accel.

About the role

RadixArk is seeking a Member of Technical Staff — Kernel / Compiler / Communication to push the limits of performance for frontier AI systems. You will work at the lowest layers of the stack — kernels, runtimes, compilers, and communication libraries — to unlock maximum efficiency from modern accelerators and interconnects.

What they're looking for

  • 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
  • Experience with distributed communication libraries (NCCL, MPI, RCCL, etc.)
More about this role

RadixArk is seeking a Member of Technical Staff — Kernel / Compiler / Communication to push the limits of performance for frontier AI systems.

You will work at the lowest layers of the stack — kernels, runtimes, compilers, and communication libraries — to unlock maximum efficiency from modern accelerators and interconnects.

This role is critical to scaling training and inference across thousands of GPUs, where microseconds and memory bandwidth matter. Your work will directly shape the performance envelope of next-generation AI systems.

This is a deeply technical role for engineers who enjoy working close to hardware and solving performance problems that most engineers never encounter.

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

Experience with distributed communication libraries (NCCL, MPI, RCCL, etc.)

Solid knowledge of networking and interconnect technologies

Proficiency in C++ and Python

Strong debugging and profiling...

Read the full posting on RadixArk's site ↗

Member of Technical Staff

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