Member of Technical Staff — Product
RadixArk
Salary undisclosed
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Description
About the Role
Key Responsibilities
- Collaborate with cross-functional teams (Product, Design, Research, Infrastructure, Developer Relations) to design and ship developer-facing products on top of RadixArk's inference and training platforms.
- Build and maintain customer-facing APIs, SDKs, CLIs, dashboards, and playgrounds that expose the power of SGLang, Miles, and our serving infrastructure in intuitive, well-documented interfaces.
- Implement custom user interfaces and developer experiences using modern frontend and backend technologies, with a high bar for performance, accessibility, and craft.
- Architect efficient and scalable systems that bridge low-level infrastructure (GPU scheduling, model serving, distributed training) with high-level product surfaces.
- Analyze and optimize code for quality, efficiency, and performance, and provide thoughtful feedback to peers during code reviews.
- Establish end-to-end ownership of components, features, or systems, from initial design through rollout, monitoring, and iteration.
- Set direction and goals for product engineering initiatives, lead major launches, and provide technical guidance and mentorship to peers and new team members.
- Identify and resolve performance, reliability, and scalability issues across the product stack, and drive efforts to reduce technical debt.
- Participate in design reviews and technical discussions, evaluating trade-offs between system complexity, developer experience, and time-to-ship.
- Work hand-in-hand with Product Managers to translate roadmap priorities into well-scoped technical deliverables, surfacing trade-offs and unblocking ambiguity early.
- Engage directly with early adopters, design partners, and the open-source community to understand pain points and rapidly iterate on product experiences.
- Contribute to technical content (documentation, code samples, blog posts, demos) that helps developers get the most out of RadixArk's products.
- Use data, telemetry, and user feedback to validate hypotheses, measure the impact of launches, and inform what to build next.
Qualifications
Minimum Requirements
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- 5+ years of software engineering experience building production systems, OR 3+ years with a PhD in a relevant field.
- Strong programming skills in at least one of: Python, TypeScript/JavaScript, Go, C++, or Rust.
- Demonstrated experience shipping developer-facing or product-facing software end-to-end, including APIs, SDKs, web applications, or developer tools.
- Experience using data and analysis to explain technical problems, prioritize work, and inform design decisions.
- Excellent collaboration and communication skills, with a track record of driving complex technical projects across teams.
Preferred Qualifications
- Experience building products on top of AI/ML infrastructure, model serving systems, or large-scale distributed systems.
- Familiarity with LLM inference and training stacks (e.g., SGLang, vLLM, TensorRT-LLM, PyTorch, Megatron, DeepSpeed, Ray) and the trade-offs involved in serving and training large models.
- Experience contributing to or maintaining open-source projects, especially in the AI/ML or infrastructure ecosystem.
- Hands-on experience designing developer experiences such as public APIs, SDKs, CLIs, or dashboards, where developer ergonomics directly drive adoption.
- Strong product sensibility, comfortable making thoughtful UX and API design decisions rather than just executing specs.
- Experience improving quality through code reviews, testing, careful rollout, monitoring, and proactive iteration.
- Demonstrated ability to integrate AI tools into engineering workflows to drive measurable impact (efficiency gains, quality improvements).
- Experience working in B2B, developer-facing, or infrastructure product environments.
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
Depending on background, skills, and experience, the expected annual salary range for this position is $200,000 - $400,000 USD + equity.
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 is building developer-facing products on top of its inference and training infrastructure, and this role sits at the intersection of that work. As a Member of Technical Staff — Product, you'll own end-to-end experiences—APIs, SDKs, dashboards, CLIs, playgrounds—that let developers and enterprises use SGLang, Miles, and the broader serving stack. You'll partner with Product Managers, research scientists, and systems engineers to translate cutting-edge infrastructure into products that are intuitive, performant, and reliable. The work spans design, implementation, and iteration, with direct engagement with early adopters and the open-source community shaping what you build next.
The role demands both technical depth and product judgment. You'll architect systems that bridge low-level infrastructure like GPU scheduling and model serving with high-level product surfaces, while also owning performance optimization, code quality, and technical debt. You're expected to establish end-to-end ownership of components or features, lead launches, mentor peers, and use data and user feedback to validate decisions. This is not a role where you execute specs; you'll make thoughtful UX and API design calls and drive complex projects across teams.
You'll need at least five years of production systems experience (or three with a PhD), strong programming skills in Python, TypeScript, Go, C++, or Rust, and a demonstrated track record shipping developer-facing software. Experience with AI/ML infrastructure, LLM serving stacks, or open-source projects is preferred but not required. The position is based in Palo Alto and requires in-office work. Compensation ranges from $200,000 to $400,000 annually, plus equity.
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