Software Engineer, AI Platform
AI summary of the role
Join the Hardware Intelligence team at Nominal to build AI systems that reason over engineering data for hardware teams.
What you’ll do
- Build agent infrastructure, evaluation pipelines, retrieval systems, and tooling for reasoning over engineering data.
- Design and ship AI-powered workflows for anomaly investigation and root cause analysis.
- Work with large-scale time series, telemetry, logs, and engineering datasets to build production-ready systems.
- Prototype new approaches, evaluate with customers, and iterate based on feedback.
What you’ll bring
- 5+ years of experience building AI or ML products that shipped to production.
- Experience with large datasets, time series data, observability platforms, data infrastructure, or ML systems.
- Background in ML, data science, applied AI, or adjacent fields.
- Strong software engineering fundamentals with scalable backend or distributed systems design.
Technologies
AI · machine learning · agent infrastructure · evaluation pipelines · retrieval systems · LLM · time series databases · observability · data infrastructure · distributed systems
About Nominal
Sells a unified industrial data platform (Nominal Core) that ingests, organizes, visualizes, and shares telemetry/sensor/test data for hardware teams testing planes, rockets, satellites, reactors, and robots.
Series B · 50–200 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
About Nominal 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
More from the job description
About Nominal 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 confidence. We're building AI systems that reason over real-world engineering data to help engineers understand failures, investigate root causes, and accelerate mission-critical work. [... source excerpt omitted ...] ngineering. 🚀 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. Success in this role comes from being comfortable making technical bets, rapidly prototyping new ideas, and turning uncertainty into working software. ✅ What You'll Do Build the systems that power Hardware Intel [... source excerpt omitted ...] lies, perform root cause analysis, and understand complex hardware behavior. Work across large-scale time series, telemetry, logs, and other engineering datasets to build robust, production-ready systems. Prototype new approaches quickly, evaluate them with customers, and iterate based on real-world feedback. Partner closely with engineers and product leaders to determine where the team should invest next. Help establish engineering patterns, infrastructure, and best practices as Hardware Intelligence scales. Engage directly with customers to understand how complex engineering problems are solved today and translate those workflows into product capabilities. ⚡️ Skills That Ac
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