AI Infra Resident (1-Year Program)
RadixArk
CA$200,000 / year
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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 and comprehensive health benefits. The expected annual salary for this position is $200,000 USD.
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.
About this role
RadixArk's AI Infrastructure Residency is a structured one-year program designed to take engineers with foundational systems knowledge and rotate them through the full stack of AI infrastructure—from inference and training to kernels, compilers, and cluster management. You'll work on production systems including SGLang (their high-performance LLM serving engine), Flux and Wan (diffusion inference), and Miles (their RL training framework), with close mentorship from senior engineers who've previously optimized systems serving billions of tokens daily and coordinated training across thousands of GPUs.
The role suits recent graduates or early-career engineers with a CS or engineering degree who have solid grounding in systems programming, ML systems, or high-performance computing, plus hands-on experience with Python and/or C++. You should be comfortable debugging across multiple layers of the stack and genuinely curious about learning unfamiliar technical territory. Beyond individual contributions, you'll document your learnings, present technical findings to the team, and participate in code reviews as part of the broader engineering culture.
This is a full-time, in-office position in Palo Alto with a fixed salary of $200,000 and health benefits. It's explicitly framed as a residency and learning opportunity rather than a traditional hire, making it well-suited for someone committed to becoming a world-class AI infrastructure engineer over the next year.
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Pay for this role
$200,000 per year
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