About Nominal
Nominal is a venture-backed company with offices in Los Angeles, Austin, and New York City that specializes in software and data management products for organizations that are testing and validating complex physical systems (like drones, planes, rockets, engines, satellites, nuclear reactors, etc.). We are backed by prolific and experienced venture capital firms like Founders Fund, Lux Capital, XYZ, Haystack, Human Capital, BoxGroup, etc., and have raised significant venture funding with strong early traction in both commercial aerospace as well as defense applications with the Department of Defense (DoD).
The Nominal team comes from commercial companies like SpaceX, Palantir, Anduril, Lockheed Martin, and NASA and is active amongst customers in aerospace, defense, industrial, and advanced energy applications (autonomous aviation, eVTOL/VTOL, flight testing, satellite development, etc.). We are also building and delivering solutions to the United States Air Force (USAF) and are looking to expand use cases across the broader DoD test community.
Our product is a data visualization and computation platform designed to accelerate how engineering teams test and validate hardware systems. We specifically aim to shorten the data review process after running tests and helping engineering organizations scale testing campaigns more efficiently and effectively to save time and lower costs. It works by combining heterogeneous data into runs and allowing users to easily build custom visualization and analysis. Users write test logic with interactive computation, and these checks can be applied to historical and future runs to compound learnings. Data sources can include telemetry, sensor data, logs, simulations, and other testing metadata like environment, vehicle, part, version, etc.
As a Software Engineer at Nominal, you will be responsible for architecting and building end-to-end features and tooling, deploying them to users, and ensuring they meet user needs with a delightful UX and performance.
🚀 About the role
- Innovate at the cutting edge of data infrastructure, considering high frequency, high volume, streaming data with transformation and alerting capabilities
- Design and build scalable APIs to power a low-friction user experience while fetching and transforming massive volumes of data
- Help grow the team by sourcing, interviewing, and onboarding new engineers
🙌 We’d love to hear from you if you have
- Experience developing and deploying infrastructure for high-scale- distributed systems or complex internal tools
- Excitement to be a foundational member of the early team building software tools to amplify the capabilities of remarkable hardware engineering teams
- Interest in occasionally traveling to spend time with end-users on-site (e.g. rocket test stands, spacecraft clean rooms, automated manufacturing facilities)
⚡ Skills that supercharge us
- Relevant data technologies: Apache Arrow, DataFusion, Flink, Beam, Kafka, D3.js, Superset, DuckDB, Plotly.js, TimescaleDB, QuestDB, Druid, Parquet, InfluxDB
- Modern technologies: Typescript, Next.js, tRPC, Java, Wasm, WebGL, ZeroMQ, serverless functions, React, Postgres
- DevOps tools and infrastructure: AWS, K8s, EKS, Helm, FluxCD
✨ Benefits/Perks
- Medical, dental, and vision insurance with 100% of premiums covered
- Unlimited PTO /sick leave
- Free lunch, snacks, and coffee
- Learning stipend
- Quarterly company retreats
Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway!
