Software Engineer - Rust / Bevy / WebGPU

Nominal
New YorkPosted 26 March 2026

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. As a Rust Visualization & Systems Engineer , you’ll design and implement the real-time 3D and UI layers that let engineers explore complex telemetry, simulations, and control systems. You’ll work directly with our data pipelines and physics engines to render live system state using Bevy, WebGPU, and egui, bringing real-world data to life in a fast, intuitive, and extensible way. If you love writing elegant, high-performance Rust, designing immersive visualization systems, and making real-time data beautiful and responsive, we’d love to meet you. 🚀 About the Role Build interactive 3D and 2D visualizations using Bevy and WebGPU , optimized for real-time telemetry and simulation. Develop advanced ECS-based rendering and scene-graph systems for large-scale, dynamic data environments. Design and implement egui-based UIs for real-time control, telemetry playback, and system monitoring. Collaborate with data infrastructure engineers to stream and visualize high-frequency telemetry with minimal latency. Contribute to cross-platform runtime architecture supporting both native and WebAssembly builds. Profile and optimize performance across CPU, GPU, and memory boundaries to achieve smooth frame pacing and determinism. Shape the visual and interaction paradigms that define Nominal’s end-user experience for engineers working on mission-critical hardware. ⚡ Skills That Accelerate Us 4+ years of experience building performance-critical applications in Rust (or equivalent systems languages). Deep familiarity with Bevy , including custom ECS components, render pipelines, and asset systems. Hands-on experience with WebGPU or wgpu , including shader programming (WGSL/GLSL) and real-time rendering concepts. UI experience with egui or other immediate-mode frameworks; ability to design responsive, intuitive technical interfaces. Strong understanding of game engine and simulation architecture — scenes, entities, transforms, and event systems. Familiarity with real-time data visualization, 3D math, and asynchronous data streams (e.g., telemetry, sensor feeds). Comfortable working across low-level graphics code and high-level UX — from optimizing GPU passes to polishing user interactions. Bonus: experience with Rust async ecosystems , Polars / Arrow , or gRPC / WebSocket streaming backends. Bonus : contributions to open-source Rust projects (Bevy, egui, wgpu, or similar). ✨ 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, colo ... (truncated, view full listing at source)
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