Top Tech Jobs & Startup Jobs in Seattle, WA

Design and build production-grade TypeScript React applications and a robust design system for safety-critical Operator UIs and a multi-tenant SaaS portal. Implement 3D scenes, real-time data flows, teleop controls, and observability; lead architecture, code reviews, and collaborate with deployment engineers to iterate from field feedback.

Lead complex, cross-functional programs spanning hardware, robotics, autonomy, firmware, embedded systems, and cloud infrastructure. Define roadmaps, requirements, success metrics, and execution mechanisms while managing risks, dependencies, testing, deployment, safety, and customer readiness. Partner with engineering, field operations, OEMs, vendors, and customers to deliver reliable autonomous heavy machinery programs across global deployments.

Design, develop, and deploy robust multi-sensor SLAM, state estimation, and automated sensor calibration pipelines. Build production localization and mapping systems for real-time edge deployment, integrate SLAM with perception, planning, and controls, and use field data to debug, validate, and improve system reliability in harsh, dynamic environments.

Design, prototype, test, and deliver robust mechanical subsystems for autonomous heavy equipment. Own CAD designs, perform FEA and thermal/structural analysis, validate via environmental and vibration testing, drive manufacturable and field-serviceable solutions, integrate across electrical and autonomy teams, mentor junior engineers, and support production and vendor partnerships for scalable deployment.

Design, implement, and deliver production-ready embedded C++ firmware for autonomous heavy equipment. Develop device drivers, HALs, and robust interfaces to sensors, actuators, and communication buses. Ensure deterministic real-time behavior, safety, reliability, and field observability. Lead hardware bring-up, debugging, HIL/validation, telemetry, and fleet-scale firmware deployment. Mentor engineers and improve firmware CI/CD, testing, and architecture.

Lead the system-level safety architecture and validation framework for autonomous heavy machinery. Define safety requirements, perform hazard analyses (FMEA/HAZOP/FTA/STPA), design redundancy and fail-safe behaviors, lead verification/validation (simulation, SIL, HIL, field testing), build fleet safety observability, and drive incident analysis and continuous learning across engineering and operations teams.

Design and implement AIM’s safety-critical Operator UI, multi-tenant admin portal, and shared design system. Build high-performance 3D visualizations, real-time telemetry integrations, accessible component APIs, and robust testing/CI workflows. Collaborate cross-functionally, mentor engineers, improve developer experience, and ensure UIs operate reliably in harsh field conditions.

Develop, implement, and validate production-level control and learning algorithms (MPC, RL, IL) for real-world embodied robotic systems. Design experiments to improve robustness and adaptability, integrate AI control stacks with perception and systems engineering, and use simulation and digital twins to accelerate deployment.

Design, architect, and deliver ruggedized electrical subsystems for autonomous heavy machinery. Own PCB lifecycle with Altium, run SPICE simulations, validate hardware with lab instruments, design wiring harnesses, ensure EMI/EMC and functional safety compliance, collaborate cross-functionally, scale prototypes to production, and mentor junior engineers.

Design, test, and debug electrical subsystems for autonomous machines: schematic capture and PCB support, power distribution, sensor and communication integration (CAN, UART, SPI, I2C, Ethernet), hardware bring-up and validation with lab tools, field troubleshooting, reliability testing, and cross-disciplinary collaboration with software, autonomy, mechanical, and field teams.