Embed with hardware engineering customers to build agentic workflows that perform real engineering tasks, including requirements checks, test-plan analysis, issue investigation, and reusable AI skills. Demonstrate measurable customer value, identify patterns for product development, and represent customer needs internally. The role requires strong Python and data skills, customer-facing communication, modern AI coding-agent experience, and travel to customer sites.
About Nominal
About Hardware Intelligence
The Role:
💼 What You'll Do:
🚀 What you'll bring:
⚡️ Nice to have:
Benefits/Perks
Compensation
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.
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 an AI Forward Deployed Engineer, you'll embed with hardware teams, build agentic workflows and skills on Nominal, and bring back the patterns that should become product.
- Embed with hardware engineering teams at build-partner programs, on site and alongside them.
- Build custom agentic workflows and skills for each partner's programs that do real engineering work: turning requirements and test plans into checks, running analyses, and investigating issues.
- Spot the patterns across customers and bring them back as product: new skills, agent capabilities, and eval tasks.
- Win build partners by proving value: measured before-and-after results on real programs.
- Be the technical voice of the customer inside the Hardware Intelligence team.
- 4+ years as a software engineer, with strong Python and data skills.
- Hands-on experience building agentic workflows: tool use, prompting, skills, and checking whether they actually work.
- Comfort in front of customers: you can run a working session with senior engineers and earn their trust.
- A builder's instinct for what's reusable and what's one-off.
- Willingness to travel to customer sites.
- 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 been a test, flight test, controls, or hardware engineer before moving into software.
- You've been a forward-deployed or solutions engineer at an AI or data company.
- You've turned a one-off customer build into a reusable product feature.
- You hold an active security clearance, or can obtain one.
- 🏥 100% coverage of medical, dental, and vision insurance
- 🏖️ Unlimited PTO and sick leave
- 🍽️ Free lunch, snacks, and coffee
- 🚀 Professional Development Stipend
- 🛠️ In-office hardware lab with a $250 project stipend
- ✈️ Annual company retreat
- 👶 12 weeks parental leave
- 🌱 Fertility and family planning ($15,000 lifetime)
- 💪 Wellness stipend ($100/month)
- 🛠️ $500/year hardware sensor stipend
- 💼 401(k)
- 📈 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.
The base pay range for this role is £148,000 – £184,000 per year.
Similar Jobs
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead the design, development, deployment, and continuous improvement of AI/ML solutions for enterprise customers. Build integrations using Python or JavaScript, APIs, microservices, and enterprise systems; analyze data; automate workflows; address AI risk, privacy, and compliance; and align technical solutions with business goals. Mentor engineers and communicate effectively with technical and non-technical stakeholders in complex, ambiguous environments.
Top Skills:
Agent-Based FrameworksAPIsArtificial IntelligenceAtlassian IntelligenceGdprGenerative AiJavaScriptLarge Language ModelsMachine LearningMicroservicesPythonRovo Ai
.png)
Fintech • Information Technology • Payments • Productivity • Software • Travel • Automation
Leads EMEA field marketing strategy, demand generation, regional campaigns, events, account-based initiatives, team development, budget management, and marketing analytics. Partners with Sales, Customer Success, RevOps, Partnerships, and Global Marketing to generate pipeline, accelerate revenue, localize global programs, optimize lead conversion, and strengthen the company’s regional presence.
Artificial Intelligence • Software
Designs and improves security controls across endpoints, servers, identity systems, cloud services, SaaS applications, networks, and data flows. The role includes hardening, vulnerability remediation, access controls, monitoring, automation, security assessments, incident investigation, and architectural improvements. The engineer partners across infrastructure, engineering, identity, legal, and security teams to reduce attack surface and strengthen durable security practices. Applicants need at least five years of hands-on security experience and an active TS/SCI clearance or eligibility to obtain one.
Top Skills:
Active DirectoryCi/CdCloud PlatformsConfiguration ManagementIdentity SystemsInfrastructure As CodeLinuxmacOSNetworkingSaas ApplicationsWindows
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.
