AI Infra Resident (1-Year Program)
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.
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
About RadixArk
RadixArk is an infrastructure-first company built by enggineers who've shipped production Al systems,created SGLang (20K+ GitHub stars,the fastest open LLM serving engine),and developed Miles(our large-scale RL framework). We're on a mission to democratize frontier-level Al infrastructure by building world-class open systems for inference and training. Our team has optimized kernels serving billions of tokens daily,designed distributed training systems coordinating 10,000+ GPUs, and contributed to infrastucture that powers leading Al companies and research labs. We're backed by well-known infrastructure investors and partner with NVIDIA, Google,AWS,and frontier Al labs. Join us in building infrastructure that givees real leverage back to the Al community.
Compensation
We offer competitive compensation for this 1-year residency program, with health benefits and potential for conversion to a full-time role. Compensation is determined by location and prior experience. Strong residents may receive offers to join RadixArk full-time with equity after program completion.
Equal Opportunity
RadixArk is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
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
About RadixArk
RadixArk is an infrastructure-first company built by enggineers who've shipped production Al systems,created SGLang (20K+ GitHub stars,the fastest open LLM serving engine),and developed Miles(our large-scale RL framework). We're on a mission to democratize frontier-level Al infrastructure by building world-class open systems for inference and training. Our team has optimized kernels serving billions of tokens daily,designed distributed training systems coordinating 10,000+ GPUs, and contributed to infrastucture that powers leading Al companies and research labs. We're backed by well-known infrastructure investors and partner with NVIDIA, Google,AWS,and frontier Al labs. Join us in building infrastructure that givees real leverage back to the Al community.
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