Software Engineer, Product

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.