AI Infra Resident (1-Year Program)
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At a glance
Requirements
Credentials this posting asks for.
Job overview
RadixArk is hiring an AI Infra Resident (1-Year Program). RadixArk is offering a full-time, paid, 1-year residency program for aspiring AI infrastructure engineers. Residents will rotate across various infrastructure areas, working on real production systems alongside senior engineers. This program provides an opportunity to learn from experienced teams, own meaningful projects, and impact thousands of developers.
Key focus areas include Join a full-time, paid, 1-year residency focused on AI infrastructure, Rotate across inference, training, kernels, compilers, and cluster infrastructure, and Work on real production systems: LLM serving (SGLang), diffusion inference (Flux, Wan), RL training (Miles), schedulers, and performance tooling.
Successful candidates bring Bachelor's Or Master's Degree In Computer Science Engineering Or Related Field. Important skills include Systems Programming, ML Systems, High-Performance Computing, Python, C++, and Learn Quickly.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
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
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Bachelor's or Master's degree in Computer Science, Engineering, or related field (recent graduates welcome)
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Strong foundations in systems programming, ML systems, or high-performance computing
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Experience with Python and/or C++; exposure to CUDA, JAX, or distributed systems is a plus
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Demonstrated ability to learn quickly and debug complex technical problems
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Curiosity, grit, and willingness to dive deep into unfamiliar layers of the stack
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Desire to grow into a world-class AI infrastructure engineer
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Strong communication skills and ability to work collaboratively
Responsibilities
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Join a full-time, paid, 1-year residency focused on AI infrastructure
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Rotate across inference, training, kernels, compilers, and cluster infrastructure
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Work on real production systems: LLM serving (SGLang), diffusion inference (Flux, Wan), RL training (Miles), schedulers, and performance tooling
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Learn to debug failures across the full stack: model → runtime → kernel → hardware
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Own meaningful projects with close mentorship from senior engineers
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Contribute to SGLang, Miles, and other open-source projects
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Document learnings and create guides for the community
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Present technical deep-dives and share knowledge with the team
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Participate in code reviews and learn engineering best practices
About RadixArk RadixArk is an infrastructure-first company built by engineers who've shipped production AI systems, created SGLang (30K+ GitHub stars, the fastest open LLM serving engine), and developed Miles (our large-scale RL framework). Founded by AI infrastructure veterans from xAI and NVIDIA, we're on a mission to democratize frontier-level AI 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 infrastructure that powers leading AI companies and research labs.
Compensation We offer competitive compensation with equity, comprehensive health benefits, and flexible work arrangements. Compensation is determined by location, level, and experience.
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.
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