About The RoleRadixArk 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.
Requirements- 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
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
CompensationWe offer competitive compensation and comprehensive health benefits. The expected annual salary for this position is $200,000 USD.
