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# AI infrastructure engineers

- **Company:** RADIXARK, INC.
- **Location:** Palo Alto, United States
- **Contract:** Temporary contract
- **Skills:** C++ (Programming Language), Compilers, Code Review, Nvidia CUDA, Software Debugging, Distributed Systems, Python (Programming Language), System Programming, AI Infrastructure, High Performance Computing, Large Language Models, Information Technology, Machine Learning Operations
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/ai-infra-resident-1-year-program-radixark-8116470

## About the Role

* 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

## Description

RadixArk is launching a full-time, paid, 1-year residency program for aspiring AI infrastructure engineers. You'll rotate across inference, training, kernels, compilers, and cluster infrastructure, working on real production systems alongside senior engineers. This is an opportunity to learn from the team behind SGLang and Miles while owning meaningful projects that impact thousands of developers., * 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


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