Full Stack Software Engineer, Compute

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.

At Nominal, the frontend goes far beyond a visual layer on top of APIs. It's where thousands of high-frequency data sources are streamed and drawn on screen in time for an engineer to decide whether to continue, pause, or abort tests running against real hardware. Our customers monitor mission-critical systems through Nominal, so the data has to be fast, correct, and trustworthy at every layer. Meeting that bar means balancing raw performance with an experience engineers can depend on and understand, so they can build trust in the platform.

We're looking for product engineers who care about high-scale data computation, runtime performance, and device constraints as much as building intuitive interfaces. You'll work at the intersection of product, design, and engineering to turn a highly expressive compute engine into the foundation that every visualization in Nominal depends on, from highly optimized time series charts to flexible user-defined custom visualizations. Success in this role is measured by building a data layer that stays fast, correct, and observable on whatever device and network our customers bring.

You'll partner closely with backend engineers, designers, and product teams to define workflows, shape product direction, and make thoughtful technical tradeoffs in an environment where requirements are often ambiguous and the best solutions aren't immediately obvious. You'll own the shared compute and data layer of the platform’s applications end to end. Your judgment will shape how live and historical data workflows feel across the whole product.

Own the layer between Nominal's compute engine and the user: streaming over WebSockets, orchestrating web workers, handling columnar data formats, caching intelligently, and processing live and historical data on the client. You'll design generalized data and compute capabilities that serve today's product and the use cases we haven't met yet, so that new panels, new query types, and open-ended user-defined visualizations can be built quickly on the stability and guarantees already in place.

Customers stream thousands of high-frequency series into live monitoring dashboards with low-latency expectations and zero tolerance for incorrect data. You'll squeeze everything possible out of varied user hardware, hunt memory leaks down to the allocation, benchmark and profile the render pipeline, and handle out-of-order, late, and missing data so the picture on screen converges on the truth.

Partner closely with product, design, and engineering to turn loosely defined ideas into intuitive user experiences. You'll challenge assumptions, validate workflows directly with users, and make confident product decisions when requirements are incomplete.

Take new features from the compute layer and expose them in a composable, scalable form that end users can understand: new capabilities, aggregations, grouping mechanisms, and transforms that can power every application and workflow in the Nominal platform.

Design experiences that expose powerful capabilities without overwhelming users. You'll think deeply about information architecture, interaction design, and how technical users reason about their work.

A deep understanding of the browser as an environment for data-intensive applications: threading, networking, memory, and the rendering pipeline.

Experience building interfaces over live data streams, and balancing the speed, correctness, and resilience they demand.

Experience with client-side memory management, benchmarking, profiling, and an obsession with delivering a fluid user experience.

Experience designing products around complex object models, relationships, and workflows rather than simple CRUD interfaces.

Ability to understand user goals, simplify complicated workflows, and make thoughtful product decisions under ambiguity.

Strong experience with React, TypeScript, modern state management, asynchronous data flows, and scalable application architecture.

Comfort reasoning about APIs, data loading strategies, backend constraints, and making architectural tradeoffs across the full stack.

Experience optimizing rendering, managing large datasets, virtualized interfaces, streaming updates, caching strategies, and browser performance.