Job Opportunities API

  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 engineers 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.