openashbyhqbvp
UI Engineer
NODA AI
LocationAustin
WorkplaceHybrid
EmploymentFullTime
Posted2025-12-26T16:09:26.273+00:00
Last observed2026-06-29 00:42:46.334896
Job idbvp-noda-ai:ashbyhq:d54879c6-e65a-42b6-a7ca-714a53366842
UI ENGINEER Location: Austin, TX (Hybrid on-site, with up to 10% travel) Clearance Requirement: U.S. Citizen with the ability to obtain a security clearance ABOUT NODA NODA is a veteran-owned, venture-backed technology company that is transforming how unmanned systems collaborate in complex, mission-critical environments. We are developing next-generation solutions that enable the autonomous orchestration of heterogeneous unmanned systems across air, sea, land, and space with vital applications in the defense, intelligence, and commercial sectors. Our UI Engineers create the mission command and control interfaces that enable operators to coordinate autonomous vehicle fleets through intuitive, gaming-inspired visualization systems that perform flawlessly under pressure in high-stakes operational environments. Joining NODA means working on meaningful technology that pushes the boundaries of autonomy alongside a team that thrives on innovation, rapid iteration, and collaboration. THE ROLE We are seeking a UI Engineer to design and implement advanced mission command and control interfaces for autonomous vehicle orchestration. You will build gaming-style operator interfaces featuring real-time 3D visualizations, interactive maps, and high-performance data rendering systems that enable human operators to coordinate fleets of autonomous vehicles across multiple domains. Your work will focus on creating WebGL-based visualizations, optimizing real-time data rendering for massive sensor feeds, and implementing gaming-inspired UI interactions like RTS-style controls, minimaps, and context-sensitive interfaces. This role requires deep expertise in browser-based 3D graphics, performance optimization, and creating interfaces that remain responsive under extreme data loads. KEY RESPONSIBILITIES - Design and implement WebGL-based 3D visualizations for real-time autonomous vehicle coordination and mission planning interfaces - Build high-performance data visualization systems using Deck.gl http://Deck.gl to render millions of sensor data points, telemetry streams, and geospatial information - Create gaming-inspired UI interactions including RTS-style vehicle selection, minimap systems, context-sensitive controls, and real-time asset tracking displays - Optimize rendering performance for browser-based applications handling continuous streams of sensor data, video feeds, and telemetry from autonomous vehicle fleets - Implement WebAssembly modules for performance-critical calculations and real-time data processing in gaming-style interfaces - Develop interactive 2D/3D mapping systems with real-time overlays for mission planning, route visualization, and operational area displays - Build responsive, touch-capable interfaces that function across desktop and tablet form factors for field deployment scenarios - Create data visualization pipelines that transform raw autonomous system telemetry into actionable operator insights and mission-critical displays - Implement custom WebGL shaders for specialized military sensor data visualization and real-time geographic information display - Collaborate with backend engineers to optimize data streaming protocols and minimize latency for real-time command and control operations - Ensure interface performance and reliability through comprehensive testing frameworks and automated performance monitoring REQUIRED QUALIFICATIONS - 4+ years of professional frontend development experience with emphasis on data visualization and high-performance web applications - Expert-level proficiency in JavaScript/TypeScript and modern frontend frameworks (React, Vue, or Angular) - Strong experience with WebGL programming, 3D graphics libraries (Three.js, Babylon.js), and GPU-based rendering optimization - Proficiency with Deck.gl http://Deck.gl or similar large-scale data visualization frameworks for rendering massive datasets - Experience with real-time data streaming and WebSocket-based applications for live data visualizatio
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