Nominal powers mission-critical engineering with advanced data infrastructure, real-time observability, and analysis tools — all in one collaborative platform. Backed by General Catalyst, Lightspeed and Sequoia.
About the role
We're looking for an experienced software engineer to join our Hardware Intelligence team. This is a highly ambiguous, zero-to-one engineering role. You'll build the infrastructure, data systems, and AI capabilities that power the next generation of intelligent engineering tools. Rather than implementing predefined product requirements, you'll work alongside customers and product leaders to discover what should exist, and then build it.
What they're looking for
- 5+ years of experience building AI or machine learning products that shipped to production
- Experience working with large datasets, time series data, observability platforms, data infrastructure, or machine learning systems
- A background in ML, data science, applied AI, or adjacent fields that gives you strong intuition for working with data-intensive systems
- Strong software engineering fundamentals, with experience designing scalable backend or distributed systems
- Experience taking products from zero-to-one, whether at a startup or inside an entrepreneurial team within a larger company
- Strong product instincts and curiosity about customer problems
More about this role
Nominal is building the connected test and operations platform powering the world's most advanced hardware systems, from spacecraft and autonomous vehicles to next-generation defense programs. Our platform gives hardware engineering teams a single place to ingest data, analyze performance, automate test execution, and collaborate across every phase of development, so they can move faster without sacrificing safety or precision. We're a fast-moving team that owns problems end-to-end, works across disciplines, and thrives at the intersection of hardware and software.
We serve top-tier commercial and defense customers, from autonomy leaders like Anduril and Shield AI to next-generation aerospace teams like Hermeus and REGENT, and performance engineering teams like Pratt Miller Motorsports, alongside mission partners within the U.S. Navy and U.S. Air Force on programs where failure isn’t an option. We’re backed by Sequoia, General Catalyst, Founders Fund, Lux Capital, and Lightspeed. Our team draws from SpaceX, Palantir, Anduril, Applied Intuition, and other leading companies, united by a common mission: giving hardware engineers the tools to build the future with speed, safety, and...
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