Build, optimize, and maintain large-scale build systems (Bazel), CI/CD pipelines, and release automation. Own developer infrastructure, observability, telemetry, logging, and metrics. Partner with product teams to remove developer friction and improve engineering productivity as the monorepo and organization scale.
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 looking for a Software Engineer to join Nominal's Developer Infrastructure team. You'll develop the build infrastructure that every engineer at Nominal depends on, with an eye towards continuously optimizing the build performance and local devx to better scale with our growing engineering organization. You'll also own the developer infrastructure that keeps engineering velocity and release quality high, such as observability, pre-merge validation, and more. As one of the founding engineers on the team, you'll shape the tooling, developer experience, and engineering practices that every engineer at Nominal relies on from day one
🚀 About The Role
- Build, optimize, and maintain Nominal's large-scale build systems, with Bazel as the highest priority.
- Improve CI/CD pipeline performance, release automation, and release reliability.
- Own developer infrastructure that enables engineering velocity as our monorepo and engineering organization scale.
- Build and maintain observability, telemetry, logging, and metrics infrastructure using tools like Datadog, Grafana, and OpenTelemetry.
- Partner closely with product engineering teams to remove developer friction and improve day-to-day engineering productivity.
⚡ Skills That Accelerate Us
- 4+ years building, optimizing, and maintaining build systems at scale.
- Experience with Bazel or similar build systems.
- Experience working in and scaling large monorepos.
- A track record of improving CI/CD performance, release reliability, and developer productivity using measurable outcomes.
- Practical, startup-minded engineering philosophy - You don't let perfect be the enemy of good, but you approach problems from first principles and build solutions that scale.
- Comfortable owning developer infrastructure end to end, from build tooling and CI/CD to release automation and engineering productivity.
✅ Nice to have:
- Datadog
- Grafana
- OpenTelemetry
- Audit logging
- Kubernetes
- Remote build caches
- Ephemeral development environments, or other developer platform tooling.
✨ Benefits/Perks
- 🏥 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
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
ITAR Requirements
To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
CompensationThe base pay range for this role is $130,000 – $230,000 per year.
Similar Jobs
31 Minutes Ago
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Own model observability for Auto Physical Damage data science products, including traditional ML and GenAI/LLM systems. Build monitoring pipelines, dashboards, metrics, thresholds, alerts, and remediation documentation. Detect drift, performance degradation, anomalies, and data-quality issues; support MLOps, LLMOps, governance, compliance, and audit reporting. Analyze business outcomes, identify improvement opportunities, and communicate model health findings to technical and non-technical stakeholders.
Top Skills:
AWSAzureEmblemExcelGCPLlmopsMlopsPowerPointPythonSASSQLStreamlitTableauVBA
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound calls and warm leads to assess customers’ insurance needs, recommend appropriate Property and Casualty coverages, and convert prospects into policyholders. Representatives receive paid training and licensing support, work remotely, maintain customer-focused communication, and meet sales goals through persuasive consultation. The role requires a flexible schedule of four weekdays and one weekend day, with evening shifts for at least six months.
Top Skills:
PcWired High-Speed Internet
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Owns the Small Commercial Product AI investment roadmap and portfolio from intake and prioritization through execution, adoption, and performance measurement. Drives cross-functional AI initiatives, coordinates with Product, Data Science, Technology, and AI enablement teams, establishes business cases and KPIs, supports responsible AI governance, and promotes adoption of AI tools. Requires strong program management, stakeholder influence, analytical expertise, and knowledge of insurance product, pricing, underwriting, and predictive modeling.
Top Skills:
AIEmblemExcelPowerPointPredictive ModelingSASSQL
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
