Job 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
Qualifications:
Required:
• 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
Company:
RadixArk focuses on developing infrastructure for AI inference and training systems. Founded in 2025, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.