Top Tech Jobs & Startup Jobs

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.

Senior individual contributor to define and deliver enterprise IAM strategy: design resilient IDP architecture, enforce Zero Trust and least-privilege, automate identity lifecycle, implement RBAC/PAM/secrets management, enable SSO and authentication protocols, govern access for human and machine identities including AI agents, and partner cross-functionally to meet security and audit requirements.

Build and maintain large-scale ETL and ML infrastructure to automate data selection, labeling, training, and testing loops. Connect real-world and simulation data to enable continuous model improvement, collaborate with modeling teams, and mentor junior engineers to scale data-centric development.

Develop and integrate end-to-end vehicle software features in C/C++, collaborating with hardware teams and customers to define use cases, design test rigs, debug electronic systems, and validate on-vehicle performance. Manage integrations across embedded, cloud, and UI components to meet customer requirements.

Optimize application-layer software for embedded autonomy platforms by profiling and tuning runtime performance, resolving resource contention, ensuring efficient concurrent execution, and deploying production code on QNX/Linux/RTOS targets while collaborating with ML runtime teams.

Design and implement multi-agent optimization, planning, and constraint-satisfaction algorithms for real-time autonomous decision-making systems. Translate theoretical approaches into production-ready C++ software, optimize algorithm performance, and collaborate with cross-disciplinary teams to integrate human-machine teaming capabilities for defense applications.