---
title: 'Staff Research Engineer, Agent Evals & Post-training - UK at Nominal'
canonical: 'https://feeny.ai/job/staff-research-engineer-agent-evals-post-training-uk-nominal-london-12dab0d5sj69'
type: 'job'
last_seen: '2026-11-11'
---

# Staff Research Engineer, Agent Evals & Post-training - UK at Nominal

- **Company:** Nominal
- **Location:** London, United Kingdom
- **Compensation:** £180k–£220k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-11-09
- **Last confirmed live:** 2026-11-11
- **Apply:** https://jobs.gem.com/nominal/am9icG9zdDpxJOuGtAXwRqKP7CUOlvrD

## Job description

## 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 Staff Research Engineer supporting agent evals & post-training, you'll define how Nominal measures its agents, for customers and for ourselves, and build the path from evals to post-trained models when hardware needs them. Evals come first; post-training follows when air-gapped deployment or cost makes it the right investment.

💼 What you'll do

- Build eval suites for our agents, the MCP tool layer, and our internal company agent, grounded in real hardware tasks.
- Invent new benchmarks for agents working over physical engineering data, where none exist today.
- Benchmark our agents against frontier agents using our MCP, and show where and why ours win.
- Build the eval infrastructure: datasets, model-based and human graders, and regression gates in CI.
- Turn evals into reward signals and training data, and lead post-training (fine-tuning, RL, distillation) when we need models we can run anywhere, including air-gapped environments.
- Set Nominal's strategy for measurement and model improvement, working with hardware experts on what "correct" means.

🚀 What you'll bring

- 8+ years in ML engineering or research, including evals or post-training work you led in production.
- Statistical rigor: you design evals that don't fool you, and you know when a difference is real.
- Deep experience evaluating LLM or agent systems, including model-graded evals and their limits.
- Hands-on post-training experience: fine-tuning, RL from feedback, or distillation on real tasks.
- The judgment to know when to measure, when to train, and when a better prompt or tool is the answer.
- 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.

⚡️ Nice to have

- You've built evals or post-training at a frontier lab or an AI-native company.
- You've published benchmarks or eval methods that others use.
- You've trained or served open-weight models in restricted, on-prem, or air-gapped environments.
- You've worked in test, reliability, or verification engineering for physical systems.

## 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

## Company Overview
- **One-liner**: Nominal provides a unified industrial data stack that enables hardware engineering teams to test, analyze, and operate mission-critical systems with the speed of software development.
- **Entity Type**: Private (Series B, 2026)
- **Headquarters**: Los Angeles, California, United States
- **Founded**: 2022
- **Founders**: Cameron McCord (Co-founder & CEO)

## Core Business
- Primary industry: Aerospace & Defense, Hardware Testing, Industrial Data Infrastructure
- Target customers: B2B – Engineering teams at startups, enterprises, and government agencies building complex hardware (e.g., autonomous vehicles, space systems, hypersonics)
- Mission: "Equip engineers to test and operate critical technology" – delivering the tools and infrastructure to deliver mission-critical capabilities at scale in the shortest time possible.

## Products & Services
- **[Nominal Core](https://nominal.io)**: A cloud-based collaborative workspace that ingests, structures, and analyzes telemetry, logs, video, and simulation results. Provides real-time mission control, trend analysis, and automated reporting to accelerate development, production, and operations. (SaaS)
- **[Nominal Connect](https://nominal.io)**: An edge compute platform for hardware test. Deploys Python-based test apps on-premises, turns scripts into operator-ready interfaces, and runs tests deterministically at the edge (lab, remote range, air-gapped). Automatically syncs results to Core for deeper analysis. (On-premise/Edge software)

## Market Standing
- **Valuation**: Not disclosed
- **Key Metric**: Total funding of **$182.5M** across 5 rounds (Seed, Series A, Series B, and a non-equity assistance)
- **Notable Investors**: Founders Fund (led Series B), General Catalyst (led Series A), Lux Capital (led Seed), and Sequoia Capital (partnered 2025)
- **Growth Signals**:
  - Headcount grew **+202.5% YoY** to 196 employees (as of 2026)
  - 17,984 LinkedIn followers (+209.7% yearly)
  - Customer Anduril reduced test review time from 5+ hours to near real-time across 300+ engineers
  - Active job postings: 67 (up +346.7% yearly)
  - Offices in Los Angeles (HQ), New York, Austin, Pflugerville (TX)

## Competitive Advantages
- **Unified platform** that replaces fragmented test tools – one data model for telemetry, logs, video, simulations, and documents
- **Built by engineers from Palantir, SpaceX, Anduril, and Lockheed Martin** – deep domain expertise in mission-critical hardware
- **Edge-to-cloud architecture** that works in air-gapped, offline, and secure environments
- **Enterprise-grade security and scale** with support for startups, large enterprises, and government deployments
- **Open API, SDKs, and integration ecosystem** allowing teams to modernize legacy systems without disruption

## Strategic Focus
- Continue scaling the platform to serve larger defense and aerospace programs (e.g., integrated programs, fleet management)
- Expand into manufacturing test lines and production environments (scaling test code from prototype to manufacturing)
- Deepen government partnerships and secure FedRAMP or similar certifications
- Grow headcount aggressively, especially in engineering, mission operations, and sales roles

## Why Work Here
- **Culture**: "Engineers building for Engineers" – a tight-knit team of operators and builders from Palantir, SpaceX, Anduril, and more. High ownership, real impact on hardware that flies, launches, or defends.
- **Work Policy**: In-office **5 days per week** (LA, NY, Austin, Pflugerville). Gourmet lunch provided daily.
- **Perks & Benefits**:
  - 100% covered health, dental, and vision insurance (for you and family)
  - Unlimited paid vacation
  - 12-weeks parental leave
  - Fertility and family planning ($15,000 lifetime)
  - $500/year hardware sensor stipend
  - Wellness stipend ($100/month)
  - 401K with employer match
  - Learning & development stipend
  - Employee-friendly equity terms
- **Growth Trajectory**: Over 200% yearly headcount growth, recent Series B funding, and a clear mission to accelerate the "hardware renaissance" – strong signal for career growth and impact.

## Sources
1. [Nominal Careers Page](https://nominal.io/careers)
2. [Nominal About Us](https://nominal.io/about-us)
3. [Nominal Product Page](https://nominal.io/?j=35813&sfmc_sub=16110646&l=1582_HTML&u=1011363&mid=546014653&jb=234&sfmc_id=16110646)
4. [LinkedIn Company Profile](https://linkedin.com/company/nominal-inc)
5. [Sequoia Capital Portfolio](https://sequoiacap.com/companies/nominal/)

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