CareerPlan

Software Development Engineer - GPU Libraries

San Jose, CaliforniaFull-time2026-10-29 → 2026-11-10
No visa sponsorship

Core

Develop cutting-edge AI software and open-source libraries for next-generation GPU accelerators to power AI workloads in data centers and supercomputers.

Role type

Senior IC software engineer (GPU libraries & AI tooling)

Builds

Open-source AI software (ROCm, Verl, Ray, Triton, FlashInfer), custom internal AI utilities, automated agents, and developer workflows

Domain

AI infrastructure, GPU programming, high-performance computing

Deliverable

production ML models

Required skills

C++, Python, GPU programming (CUDA, HIP, OpenCL), AI training/inference methodologies, performance optimization, LLM utilization for code generation and debugging

Preferred skills

Full-stack AI tool development, ecosystem collaboration with open-source communities

Technologies

ROCm, Verl, Ray, Triton Inference Server, FlashInfer, CUDA, HIP, OpenCL, LLMs

Responsibilities

Contribute to open-source projects driving AI innovation; Collaborate with partners and communities to enable AI workloads; Architect and deploy custom AI utilities and automated workflows

Seniority

Senior, hands-on IC