---
title: 'Member of Technical Staff — Product at RadixArk'
canonical: 'https://feeny.ai/job/member-of-technical-staff-product-radixark-palo-alto-as44m8evvp3v'
type: 'job'
last_seen: '2026-09-13'
---

# Member of Technical Staff — Product at RadixArk

- **Company:** RadixArk
- **Location:** Palo Alto, CA
- **Posted:** 2026-05-07
- **Last confirmed live:** 2026-09-13
- **Apply:** https://job-boards.greenhouse.io/radixark/jobs/4242558009

## Job description

## About the Role

RadixArk is seeking experienced product-focused engineers to join our team in building the developer-facing surfaces of our inference and training infrastructure. As a Member of Technical Staff — Product, you will partner closely with our Product Managers, research scientists, and systems engineers to turn cutting-edge AI infrastructure into delightful, performant, and reliable products that developers and enterprises love to use.

You will own end-to-end product experiences across APIs, SDKs, dashboards, playgrounds, and developer tooling that sit on top of SGLang, Miles, and our broader inference and training stack. You'll work at the intersection of frontier systems and great product craft, shaping how developers discover, evaluate, and integrate RadixArk's capabilities into their own AI workloads. If you are excited about translating cutting-edge infrastructure into products that meaningfully shape how the AI community builds, this role is for you.

## Key Responsibilities

Product Engineering & Execution

- 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.

Technical Leadership & Ownership

- 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.

Partnership with Product & Users

- 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 RadixArk

## Company Overview
- **One-liner**: RadixArk builds open, large-scale inference and training systems to democratize access to frontier AI infrastructure for the entire AI community.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2025
- **Founders**: Ying Sheng (CEO) and Banghua Zhu

## Core Business
- **Primary industry/industries**: AI Infrastructure, Deep-Tech, Open Source Software
- **Target customers**: Individual developers, startups, enterprises, and research labs building and deploying AI systems at scale.
- **Mission or purpose statement**: "Make frontier-level AI infrastructure open and accessible to everyone." [radixark.com](https://radixark.com/)

## Products & Services
- **[SGLang (Inference Engine)](https://radixark.com/)**: An open-source, high-performance serving engine for AI models. It has become a de facto standard, powering trillions of tokens daily for leaders like Google, Microsoft, NVIDIA, and xAI. RadixArk is the primary steward. **Type:** Open-Source Software / Managed Service
- **[Miles (RL Framework)](https://radixark.com/blog/radixark-launches-100m-seed)**: An open-source framework for large-scale reinforcement learning and post-training. Designed for efficiency and stability, it has been adopted for large-scale MoE training. **Type:** Open-Source Software
- **Managed Infrastructure & Tooling**: Built on top of SGLang and Miles, RadixArk offers managed services for the full lifecycle of AI development, from training to inference, for teams developing AI at scale. **Type:** Managed Service / Platform

## Market Standing
- **Valuation/Market Cap**: $400 million post-money valuation (as of May 2026) [cbinsights.com](https://www.cbinsights.com/company/radixark)
- **Key Metric**: $100 million total funding (Seed Round)
- **Notable Investors/Partners**: Accel (lead), Spark Capital (co-lead), NVentures (NVIDIA's venture arm), and participation from Google, Microsoft, and other strategic partners. [radixark.com](https://www.radixark.com/blog/radixark-launches-100m-seed)
- **Growth Signals**: The company has 19 employees as of mid-2026 but has seen a monthly headcount growth of +55.6%. Its open-source projects (SGLang and Miles) are already adopted by industry giants and research labs, indicating massive traction and developer mindshare. [linkedin.com](https://www.linkedin.com/company/radixark)

## Competitive Advantages
- **Open-Source Moat**: Its core products, SGLang and Miles, are open-source community standards with deep adoption. This creates a network effect and developer loyalty that is hard for proprietary competitors to replicate.
- **First-Principles Engineering Culture**: The company treats infrastructure engineering as a core creative discipline, not a support function, leading to deeper system-level innovations.
- **Top-Tier Talent & Backing**: Founded by the creators of SGLang and backed by Accel, Spark Capital, and NVIDIA, giving it immediate credibility, capital, and access to frontier hardware.
- **Clear Mission**: Focusing on making infrastructure "10x cheaper and 10x more accessible" directly addresses a massive pain point for the entire AI ecosystem. [radixark.com](https://www.radixark.com/)

## Strategic Focus
- **Growing SGLang & Miles**: Using the $100M seed to accelerate support for new model architectures, hardware platforms, and community improvements.
- **Building Managed Services**: Developing the managed infrastructure and tooling layer on top of its open-source cores to serve a wider range of customers.
- **Hiring Deeply Technical Talent**: Actively recruiting top-tier engineers for kernels, compilers, training systems, and TPU systems to maintain its engineering edge.
- **Expanding Global Reach**: With a Sales role based in Singapore, the company is signaling an intention to serve the APAC market.

## Why Work Here
- **Impactful Mission**: Employees contribute directly to making frontier AI infrastructure a shared foundation, working on problems that affect the entire AI ecosystem.
- **Engineering-Centric Culture**: The company explicitly states that "infrastructure engineering is not a support function," making it an ideal environment for deep-tech systems engineers who want to solve hard, first-principles problems. [radixark.com](https://www.radixark.com/blog/radixark-launches-100m-seed)
- **Work with Open Source at Scale**: You will be contributing to and stewarding widely-used open-source projects (SGLang, Miles) that power trillions of tokens daily.
- **Strong Backing & Early Stage**: Joining a well-funded seed-stage company with a $400M valuation offers significant upside and the chance to shape the company's culture and direction from an early stage.
- **Location & Hybrid Policy**: The company is headquartered in Palo Alto and San Francisco, California, with most roles listed as in-office. They also have a role in Singapore.
- **Notable Perks**: The company's blog emphasizes a culture of being "focused, humble, fearless, and meticulous," which appeals to mission-driven engineers.

## Sources
1. [RadixArk Official Website](https://radixark.com/)
2. [RadixArk Blog: $100M Seed Announcement](https://www.radixark.com/blog/radixark-launches-100m-seed)
3. [RadixArk Jobs on Greenhouse](https://job-boards.greenhouse.io/radixark)
4. [RadixArk LinkedIn Page](https://www.linkedin.com/company/radixark)
5. [CBInsights Company Profile](https://www.cbinsights.com/company/radixark)

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