--- title: 'Forward Deployed Engineer Intern at Novita AI' canonical: 'https://feeny.ai/job/forward-deployed-engineer-intern-novita-ai-san-mateo-g21sq0qnz358' type: 'job' last_seen: '2026-10-19' --- # Forward Deployed Engineer Intern at Novita AI - **Company:** Novita AI - **Location:** San Mateo, CA - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-12 - **Last confirmed live:** 2026-10-19 - **Apply:** https://jobs.ashbyhq.com/novita-ai/bb0e8da0-e963-4fcc-ac50-3127a70c6714 ## Job description ## About Novita AI Novita AI is an AI & Agent Cloud platform for builders. We provide high-performance Model APIs, dedicated inference infrastructure, and Agent Sandbox environments that help developers and enterprises build, deploy, and scale production AI applications. ## The Role As a Forward Deployed Engineer Intern, you’ll work directly with customers to help them build and launch production AI systems. You’ll sit at the intersection of engineering, customer success, and product, working alongside experienced engineers and GTM team members. Unlike a traditional software engineering internship, much of your work will start with an actual customer problem. A customer might need help understanding why an API is slow, scaling an inference workload, integrating a model endpoint, reproducing an error, or launching thousands of concurrent agent sandboxes. Your job is to understand the problem, investigate it, and help drive it to resolution. ## What You’ll Do - Work directly with customers building AI products and agents. - Help integrate Novita Model APIs, dedicated inference endpoints, and Agent Sandbox. - Reproduce and debug customer issues involving APIs, networking, containers, Linux, and inference workloads. - Investigate errors, latency, throughput, concurrency, and reliability issues. - Build demos, integrations, scripts, PoCs, and reference implementations. - Help customers move from experimentation into production. - Partner with product, engineering, and SRE teams to resolve customer issues. - Write documentation, runbooks, and internal tooling that make future deployments easier. - Identify patterns across customer workloads and translate them into product improvements. - Learn how customer usage, technical success, and business growth connect. As you gain experience, you may independently own technical relationships with selected customers. ## What We’re Looking For ## Requirements - Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field. - Strong programming fundamentals. - Proficiency in Python or another general-purpose programming language. - Familiarity with Linux and APIs. - Strong debugging and problem-solving ability. - Comfortable communicating directly with customers. - Ability to explain technical concepts clearly. - High ownership and willingness to work through ambiguous problems. - Available approximately 20 hours/week during the academic term or full-time during summer. ## Nice to Have - Experience building applications using LLM APIs. - Familiarity with Docker, Kubernetes, or cloud infrastructure. - Experience with agent frameworks or coding agents. - Familiarity with vLLM, SGLang, Ray, or other inference systems. - Understanding of inference concepts such as latency, throughput, caching, batching, and concurrency. - Hackathon projects, open-source contributions, or startup experience. - Experience teaching, consulting, developer relations, or supporting technical users. - Professional working proficiency in Mandarin Chinese. What Success Looks Like During your internship, you will: - Help real customers successfully deploy AI workloads. - Become comfortable debugging production-facing problems. - Build reusable tooling or documentation used by future customers. - Develop strong intuition around how modern AI infrastructure works. - Learn how engineering decisions affect customer adoption and business outcomes. ## About Novita AI ## Company Overview - **One-liner**: Novita AI is an AI-native cloud platform providing model APIs, serverless and dedicated GPU infrastructure, and secure agent sandbox environments for developers building production AI applications. - **Entity Type**: Private (Seed stage) - **Headquarters**: San Francisco, California, United States (with presence in Singapore and China) - **Founded**: 2024 - **Founders**: Ben Li (CEO) ## Core Business - **Primary Industry**: AI Infrastructure / Cloud Computing - **Target Customers**: B2B — AI-native startups, research teams, independent developers, and enterprises building agentic and generative AI applications. - **Mission**: To lower the barrier to building powerful AI systems by making AI infrastructure open, efficient, and developer-first. ## Products & Services - **Serverless Model APIs**: Access to 200+ open-source and multimodal models (text, image, audio, video) via a single API. Billed by token, not by hour. No infrastructure to manage. - **GPU Instances & Bare Metal**: On-demand, dedicated GPU instances and physical clusters for large-scale inference, training, and enterprise deployments. Predictable performance with isolated resources. - **Agent Sandbox**: A secure, isolated microVM execution environment for autonomous agents. Features sub-200ms startup times, ephemeral filesystem isolation, per-second billing, and stateful pause/resume. Built on Firecracker technology. ## Market Standing - **Valuation**: Not publicly disclosed. The company is early-stage (founded 2024). - **Key Metric**: Total Funding — Not publicly disclosed. The company is privately held and appears to be seed-stage. - **Headcount**: 12 employees (as of early 2026), with +125% YoY growth. - **Notable Investors/Partners**: Not publicly disclosed. Talent sources include Foundation Capital, Credit Key, and several AI/tech companies, suggesting some investor/advisor connections. - **Growth Signals**: - Launched Agent Sandbox in April 2026, targeting the rapidly growing autonomous agent market. - 2,116 LinkedIn followers ( +205% YoY), indicating strong brand interest. - Active hiring for Account Executive and Forward Deployed Engineer roles. - Growing engineering team with presence across the US, Singapore, and China. ## Competitive Advantages - **Full-stack AI infrastructure**: Uniquely combines model APIs, GPU compute, and agent sandboxes on one platform — reducing complexity for developers who would otherwise stitch together multiple vendors. - **Cost efficiency**: Claims up to 50% less than major cloud providers, with serverless billing (pay per token/execution, not idle time). - **Developer-first design**: Built for agents and AI workloads from day one, with fast startup times (sub-200ms for sandboxes), simple APIs, and no-install integrations for agent frameworks. - **Performance isolation**: Dedicated kernels, bare metal options, and no noisy neighbors — critical for production AI workloads. ## Strategic Focus - **Agent infrastructure**: The Agent Sandbox launch signals a major bet on the autonomous agent market, providing secure execution environments for agentic workflows. - **Global expansion**: Presence in US, Singapore, and China — likely targeting both Western and Asian AI developer markets. - **Open-source ecosystem**: Emphasis on supporting open-source models and providing a frictionless path from prototype to production. - **Scaling team**: Active hiring in go-to-market (Account Executive) and technical roles (Forward Deployed Engineer), suggesting a push to grow customer base and enterprise adoption. ## Why Work Here - **Cutting-edge space**: Work on infrastructure that powers the next generation of AI agents and applications — at the intersection of cloud, AI, and developer tools. - **Small, fast-growing team**: 12 employees with rapid growth trajectory. High impact per person, likely with significant ownership and autonomy. - **Strong culture signals**: Perfect 5.0/5.0 employer rating on LinkedIn (1 review) with top marks for work-life balance, compensation, and culture. Career growth rated 4.0/5.0. - **Global, distributed team**: Presence in San Francisco, Singapore, and China. Roles appear to be hybrid/onsite in San Francisco, with some remote flexibility. - **Engineering culture**: "Built for developers, priced for startups" — the product itself reflects a deep understanding of developer needs. Likely a technically rigorous environment. - **Key roles open**: Chief of Staff, Account Executive, Forward Deployed Engineer — indicating a push to operationalize and scale the business. ## Sources 1. [novita.ai](https://novita.ai/) 2. [LinkedIn - Novita AI](https://www.linkedin.com/company/novita-ai-labs) 3. [Built In - Novita AI Careers](https://builtin.com/company/novita-ai) 4. [benched.ai - Novita Profile](https://benched.ai/companies/novita) 5. [Novita AI Documentation](https://novita.ai/docs) ## Other roles at Novita AI - [Forward Deployed Engineer New Grad](https://feeny.ai/job/forward-deployed-engineer-new-grad-novita-ai-san-mateo-npkw5njv940g) — San Mateo, CA - [Technical GTM Intern](https://feeny.ai/job/technical-gtm-intern-novita-ai-san-mateo-n15vjfg4zep0) — San Mateo, CA - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-novita-ai-san-mateo-qm9q55p3bm10) — San Mateo, CA - [Account Executive](https://feeny.ai/job/account-executive-novita-ai-san-mateo-ce8a66gsf9gh) — San Mateo, CA - [Forward Deployed Engineer Intern](https://feeny.ai/job/forward-deployed-engineer-intern-baidu-usa-mountain-view-3pxspkx36c1t) — Mountain View, CA