Software Engineer, Agents - UK
Company: Nominal
Location: London, England, United Kingdom
Work arrangement: Hybrid, 5 days a week in the office
Employment type: Full-time
Experience: 2-5 years
Posted: 2026-11-09
Responsibilities
You will architect the platform for Nominal's agents and MCP while building tools and workflows that ship to customers. You will also collaborate with customer engineering teams to turn field patterns into scalable product capabilities.
Requirements
Candidates must have 4+ years of backend or full-stack engineering experience with hands-on experience shipping LLM features. You should be comfortable with ambiguity, iterative development, and working with modern AI coding agents.
Skills
- Backend engineering
- Full-stack engineering
- LLM features
- Prompting
- Tool design
- Retrieval
- Debugging
- Agent tools
- Workflow automation
- Distributed systems
- Data science
- Machine learning
- Search systems
- Knowledge systems
- Hardware integration
Benefits
- Unlimited PTO
- Sick leave
- Free lunch
- Snacks
- Coffee
- Professional development stipend
- Annual company retreat
- Hardware sensor stipend
- Employee-friendly equity terms
About this role
ABOUT NOMINAL
Engineers today are building some of the most ambitious machines humanity has
ever seen. They should have AI that’s purpose-built for them.
Nominal is building the Hardware Intelligence Platform that gives engineers
increased visibility into complex physical systems, helps them make better
decisions, and ultimately gets their products into the real world faster. It
brings together the systems, data, intelligence, and applications hardware
engineering requires to meet the AI moment. Hardware engineering teams use
Nominal to simulate, test, manufacture, and operate the physical systems that
keep the world moving, from spacecraft and autonomous vehicles to
next-generation energy systems and robotics.
Our customers span aerospace, defense, manufacturing, transportation, energy,
and robotics. They include Anduril, Shield AI, Wisk Aero, Pratt Miller
Motorsports, Antares, and Shinkei Systems, amongst others, alongside programs
within the U.S. Air Force and Navy. Our team draws from SpaceX, Palantir,
Anduril, Applied Intuition, Tesla, and other leading companies, united by a
common mission: giving hardware engineers the tools to build the future with
speed, safety, and confidence. We're a fast-moving team that owns problems
end-to-end, works across disciplines, and thrives at the intersection of
hardware and software.
Some of the world’s leading technology investors, including Sequoia, Lightspeed,
Founders Fund, General Catalyst, Lux Capital, and Insight Partners, are backing
Nominal’s ambition to change how machines are built and operated. We’re looking
for engineers who want to take on hard problems and help make a new generation
of world-changing hardware possible.
ABOUT HARDWARE INTELLIGENCE
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.
THE ROLE
As a Software 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.
💼 WHAT YOU'LL DO
* Build agent tools and workflows that ship to every customer, from turning
test plans into automated checks to running investigations across tests.
* Grow the Nominal MCP so external agents can do more of the work our users do,
safely and with the user's own permissions.
* Build the integrations our internal company agent needs to work across
Nominal's own tools and teams.
* Turn the patterns forward-deployed engineers find in the field into
capabilities every customer gets.
* Instrument what you ship, read the traces, and fix what the evals and users
tell you.
* Work directly with engineers at customer programs to understand how the work
is really done.
🚀 WHAT YOU'LL BRING
* 4+ years as a strong backend or full-stack engineer.
* Hands-on experience shipping LLM features to real users: prompting, tool
design, retrieval, and the debugging that comes after.
* Speed with good judgment: you ship small, measure, and iterate.
* Comfort with ambiguity and with owning a capability from idea to production.
* 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.
⚡️ NICE TO HAVE
* You've built MCP servers or agent tools that other agents rely on in
production.
* You've shipped an agent feature that measurably changed how people work, and
you can show the numbers.
* You've built or contributed to open-source agent tooling.
* You've been an engineer in hardware, test, controls, or robotics, or worked
closely with those teams.
BENEFITS/PERKS
* 🏖️ Unlimited PTO and sick leave
* 🍽️ Free lunch, snacks, and coffee
* 🚀 Professional Development Stipend
* ✈️ Annual company retreat
* 🛠️ Hardware sensor stipend
* 📈 Employee-friendly equity terms
* 🏢 In-office 5 days per week
All qualified applicants will receive consideration for employment without
regard to race, color, religion, sex, sexual orientation, gender identity, or
national origin.
About Nominal
Software Development · 201-500 employees · headquartered in Austin, TX · founded 2022