Top Tech Jobs & Startup Jobs

Lead and deliver complex automotive engineering projects by defining milestones, managing timelines, budgets, and cross-functional teams. Act as single technical point of contact for customers, drive integration and validation, coordinate releases for software and hardware, surface customer pain points, and ensure successful completion of ADAS and vehicle platform deliverables.

Design and build vehicle simulation applications, support automotive customers, collect product feedback, document and test software, evaluate vehicle dynamics and ADAS at the system level, and help develop and deliver customer training.

Lead a Product Integration and Test team to integrate software and hardware into a unified autonomy product. Manage engineers, drive SIL/HIL and real-world testing on USV/UAV platforms, oversee verification/validation, CI/CD, configuration management, and collaborate with Perception/Fusion/Autonomy teams to ensure robust deployments.

Design, implement, and tune locomotion, whole-body control, and manipulation software for bi-dexterous robots. Integrate subsystems across actuators, sensors, and motor controllers, develop real-time C++ control, validate in simulation, debug hardware failures, and contribute to fleet tooling and CI/CD pipelines.

Design and implement embedded firmware for vehicle platforms: integrate vendor components (CAN, LIN, I2C, SPI, UART), develop RTOS applications, write high-quality C code for real-time and safety-critical systems, support hardware bring-up and SoC debug, and collaborate with cross-functional teams to productionize and maintain products.

Lead and grow an engineering team building scalable behavior systems for L2/L4 autonomous vehicles. Own architecture and delivery of safety-critical behavior planning across diverse driving domains, collaborate with Perception, Research, Simulation, and Vehicle Operations, mentor engineers, and drive technical and business decisions for production autonomy systems.

Optimize and deploy ML models to production embedded runtimes. Improve inference latency and efficiency across accelerators, prune/quantize models for memory‑constrained platforms, profile on target hardware, and collaborate with ML and software teams on architecture and integration.

Integrate state-of-the-art machine learning (especially generative) into production-grade sensor simulation for LiDAR, Radar, and Camera. Collaborate with research, rendering, and physics teams to develop, evaluate, and deploy models and tooling that produce production value and customer impact.

Lead and maintain visual brand guidelines; design digital and print assets (web, social, email, ads, presentations, trade show materials); collaborate with marketing, product, and engineering; organize asset library; incorporate stakeholder feedback and stay current on design trends and tools.

Design, build, and maintain scalable, low-latency backend services and cloud infrastructure for remote assistance. Implement APIs, data pipelines, protobuf/gRPC communication, NoSQL persistence (Redis), real-time data streaming, and resilience across AWS regions. Collaborate with onboard and frontend teams to ensure secure, reliable end-to-end data flow and optimize serialization and transmission.