Top Tech Jobs & Startup Jobs

Lead multi-disciplinary engineering projects from concept through delivery, coordinate cross-functional teams (Engineering, Design, Product, Customer), manage complex releases and milestones, engage customers for requirements, adjust timelines and resources, and ensure successful completion of deliverables and metrics.

Lead and grow a cross-functional engineering team delivering Axion autonomy toolchain modules. Define technical roadmaps, drive architecture and engineering best practices, manage sprint/release execution, collaborate with product, UX, hardware/integration and operations, and ensure field readiness and quality for simulation, HIL/SIL, and real-time systems in defense and autonomy contexts.

Deliver full-system features spanning software and hardware, lead customer-site integrations, collaborate with product, software, mechanical and electrical teams, design test rigs, and test/troubleshoot component integrations to meet customer requirements and ensure reliable system performance.

Own perception outcomes for autonomous mining vehicles: select sensors, design data collection and labeling strategies, adapt and integrate models to new domains, define KPIs, triage field model and system issues (timestamps, calibration, data quality), and collaborate with core autonomy, customer engineering, and BD to deploy and scale offroad autonomy products.

Lead development and deployment of high-performance motion planning modules for autonomous vehicles. Mentor engineers, set technical direction, integrate perception, prediction, and lightweight maps, optimize performance, establish testing/validation for production hardware, and manage customer engineering relationships to align deliverables with autonomy goals.

Design and validate automotive-grade compute hardware from concept to production: create schematics, guide PCB layout, collaborate with firmware/software teams, execute test plans, and engage vendors to ensure performance, reliability, and manufacturability of vehicle compute platforms.

Design and support robotic and data-collection hardware, build large-scale robotic simulation environments for RL training, process human motion data, collaborate on research publications, and integrate algorithms with ADAS, data, and simulation engineering teams.

Lead and grow the DefenseOS engineering organization to build WarshipOS. Own technical strategy and roadmap across zonal compute, data transport/APIs/SDKs, AI/ML perception and fusion, and SIL/HIL digital-twin testing. Hire and mentor multidisciplinary teams, set engineering best practices (architecture, CI/CD, testing), drive program execution and risk management, and partner with product, Navy customers, and shipbuilders to deliver mission-critical, field-deployed systems.

Lead end-to-end industrial design for hardware used with autonomy software: sketching, CAD, prototyping, CMF strategy, human factors, and cross-functional collaboration to ship features in five-week cycles.

Design and implement lifelong mapping and localization systems for vehicles, build scalable local/global maps, fuse live sensor data with maps, develop real-time onboard and offboard localization, leverage inertial/GNSS/camera/lidar/radar data, and continuously improve performance using large-scale, data-driven methods.