RadixArk builds large-scale inference and training systems for the entire AI community, making frontier-level AI infrastructure open and accessible. Backed by Accel.
About the role
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
What they're looking for
- 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
More about this role
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.
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
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...
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