RadixArk
Posted 143 days agoVerified live 2d ago
AI Infra Resident (1-Year Program)
Brief overview
Palo Alto, CAIn-person
UndergradOr in progress
2 H-1B approvalsDept. of Labor
Systems programmingML systemsHigh-performance computingPythonC++CUDAJAXDistributed systemsDebugging complex technical problemsTechnical communicationCollaboration
About the company
RadixArkradixark.ai
RadixArk focuses on developing infrastructure for AI inference and training systems.
Visa sponsorship history
1 year sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.2H-1B approved
100%approval rate
$161,637median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20262
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20263
Top sponsored roles
Member of Technical Staff
Job description
Summary
RadixArk is launching a full-time, paid, 1-year residency program for aspiring AI infrastructure engineers. The role involves rotating across various aspects of AI infrastructure, working on real production systems, and contributing to significant projects alongside senior engineers.
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
Skills
- 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
Qualifications
Must Haves
- 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
Benefits
- Health benefits
- Potential for conversion to a full-time role
- Strong residents may receive offers to join RadixArk full-time with equity after program completion
