Design and build the platform powering Nominal’s AI agents, including orchestration, planning, tool calling, memory, background execution, retrieval, context assembly, model routing, and fallbacks. Set technical direction, establish architecture, collaborate on evaluations and platform growth, mentor engineers, and deliver reliable LLM and agent systems to production.
About Nominal
About Hardware Intelligence
The Role:
💼 What You'll Do:
🚀 What you'll bring:
⚡️ Nice to have:
Benefits/Perks
Our mission is to accelerate how the world engineers new hardware. Nominal's connected test and operations platform powers the world's most advanced hardware programs and its most ambitious startups, from spacecraft, racecars, and autonomous vehicles to next-generation defense and energy programs. Our customers include Anduril, Shield AI, Hermeus, Albedo, Shinkei, and Pratt Miller Motorsports, as well as U.S. Navy and U.S. Air Force programs. Now we're expanding across the entire hardware lifecycle, building the foundation, AI-native applications, and agents that accelerate innovators' work and change what's possible to build.
We're backed by Sequoia, General Catalyst, Founders Fund, Lux Capital, and Lightspeed, and our team comes from SpaceX, Apple, Palantir, Anduril, Applied Intuition, and other leading companies.
We're the team behind Nominal's agents, AI-native applications, and MCP, and its forward-leaning AI bets. Our mission is to unlock the bottlenecks of the hardware lifecycle with AI. Our agents reason over physical reality, from high-rate telemetry and test campaigns to designs and simulations, where real test results are the ground truth their work is checked against. We believe opinionated AI, built for the real work of hardware programs, will change how the world engineers.
We're collaborative, iterative, and high-agency, and we're human-centered and customer-focused. We build with the newest AI tools every day, and because those tools keep changing, so do we: we stay curious and keep looking for the better way. Our team spans data science and ML, distributed systems, search, and knowledge systems, and we obsess over how agents can be genuinely useful to the engineers who rely on them.
As a Staff Engineer supporting agents, you'll design how Nominal's agents work: you'll architect the one platform our agents, the Nominal MCP, and our internal agent all run on, and set technical direction for the team that builds on it.
- Design and build the agent harness: orchestration, planning, tool calling, memory, and background agents that run long investigations on their own.
- Own the shared tool layer that our agents and external agents (via MCP) both use, so every capability we build works everywhere.
- Build how agents assemble context: retrieval across test data, documents, designs, and simulations, including sensor data far too large to fit in a context window.
- Make model choice a decision, not a dependency: routing, cost, latency, and fallbacks across frontier models.
- Partner with evals to make quality measurable, and with the platform team on how the context layer grows.
- Set the architecture other engineers build on, and raise the bar through design reviews and mentorship.
- 8+ years building production systems, including real experience shipping LLM or agent systems to users.
- Strong distributed-systems and backend fundamentals; you've owned systems where reliability mattered.
- Opinions about agent architecture (tool design, context management, autonomy, failure handling) and the judgment to change them when data says so.
- A track record of setting technical direction across a team and raising the bar for the engineers around you.
- You build with modern AI coding agents (Claude Code, Cursor, Codex) every day, and stay curious and open to better ways of working. The tools keep changing, and so do we.
- You've built an agent harness or LLM platform that other engineers or customers build on, at an AI-native company.
- You've shipped long-running, autonomous agents to production and know where they break.
- You've contributed to MCP, agent frameworks, or open-source LLM infrastructure.
- You've built software for physical systems: robots, vehicles, aircraft, or the test stands behind them.
- 🏥 100% coverage of medical, dental, and vision insurance
- 🏖️ Unlimited PTO and sick leave
- 🍽️ Free lunch, snacks, and coffee
- 🚀 Professional Development Stipend
- ✈️ Annual company retreat
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
ITAR Requirements
To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Software • Biotech
Field-based clinical solutions engineer supporting sales of the SOPHiA GENETICS ecosystem. Uses hands-on clinical laboratory NGS expertise, assay implementation and validation knowledge, and CAP/CLIA experience to address customer concerns, explain adoption requirements, and build confidence in purchasing decisions. Partners with sales colleagues across a West Coast-to-Texas territory and travels for customer meetings, conferences, and events.
Top Skills:
Cloud-Native AiNext-Generation Sequencing (Ngs)Sophia Ddm Platform
Fintech • Financial Services
Manages and grows a portfolio of affluent consumer and business banking customers. Builds relationships through discovery, proactive outreach, financial planning, and recommendations across deposits, lending, investments, and credit. Coordinates with Wealth, Home Lending, and Business Banking partners, supports digital adoption, handles banking needs, coaches branch colleagues, and maintains strong risk and compliance controls. Requires customer relationship and product recommendation experience, financial licensing, SAFE registration, and the ability to work most Saturdays.
Top Skills:
Finra Series 6Finra Series 63Finra Series 65Lo/Cfpb RequirementsSafe RegistrationSecurities Industry Essentials (Sie)
Fintech • Financial Services
Build and manage consumer and business banking relationships through consultative discovery, tailored deposit, credit, and investment solutions, proactive outreach, referrals, and digital adoption. Resolve account needs, document interactions, follow risk and compliance requirements, and collaborate with Wealth, Home Lending, and Business Banking partners. The role requires obtaining and maintaining FINRA, SAFE, and state insurance licenses.
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
