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AI Infra Resident (1-Year Program)

RadixArk· Residency
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Palo Alto, CA$200kfull-timePosted 5mo ago

About the role

RadixArk's full-time, paid 1-year residency program for aspiring AI infrastructure engineers. Rotations across inference, training, kernels, compilers, and cluster infrastructure with mentorship, real production systems, and opportunities to contribute to open-source projects.

Responsibilities

  • Join a full-time, paid, 1-year residency focused on AI infrastructure
  • Rotate across inference, training, kernels, compilers, and cluster infrastructure
  • Work on real production systems: LLM serving (SGLang), diffusion inference (Flux, Wan), RL training (Miles), schedulers, and performance tooling
  • Learn to debug failures across the full stack: model → runtime → kernel → hardware
  • Own meaningful projects with close mentorship from senior engineers
  • Contribute to SGLang, Miles, and other open-source projects
  • Document learnings and create guides for the community
  • Present technical deep-dives and share knowledge with the team
  • Participate in code reviews and learn engineering best practices

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field (recent graduates welcome)
  • Strong foundations in systems programming, ML systems, or high-performance computing
  • Experience with Python and/or C++; exposure to CUDA, JAX, or distributed systems is a plus
  • Demonstrated ability to learn quickly and debug complex technical problems
  • Curiosity, grit, and willingness to dive deep into unfamiliar layers of the stack
  • Desire to grow into a world-class AI infrastructure engineer
  • Strong communication skills and ability to work collaboratively

Skills

Required:Systems programmingPython
Nice to have:C++CUDA/JAX

Benefits

  • comprehensive health benefits
  • competitive compensation
  • paid residency program (1-year)
Last updated Sep 22, 2026. Interested? Apply on the company site.
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About RadixArk

SHIP AI FOR ALL

RadixArk is an infrastructure-first, deep-tech company building large-scale inference and training systems for the entire AI community.

AI systemsMilesSGLangbessemer-ai-infrastructure-2026inferenceinference-inflection-pointinfrastructureopen infrastructure
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