Develop and test embedded software for Zoox vehicle charging, power management, and electro-mechanical systems. Requires 4+ years real-time embedded C/C++ experience with microcontrollers, automotive protocols (CAN/LIN), and cross-functional collaboration on safety-critical vehicle controls.
Build and enhance systems that flash and update software/firmware across Zoox vehicles, sensors, compute platforms, and ECUs. Requires 7+ years Python experience, embedded Linux knowledge, and strong hardware/software debugging skills.
Part-time student role executing validation cycles and providing on-call support for manufacturing test infrastructure and hardware-software integration stability at Zoox's autonomous vehicle factory. Requires enrollment in relevant engineering degree, 20+ hrs/week on-site availability, and experience with Linux/Git/Jira.
Lead firmware connectivity systems integration and test for Zoox's TCU, owning performance, optimization, and debugging across 4G/5G, WiFi, and satellite networks. Requires 8+ years experience and deep expertise in cellular protocol stacks and wireless test platforms.
Develop, optimize, and maintain board support packages, drivers, and low-level frameworks for real-time embedded platforms in Zoox vehicles. Requires 3+ years embedded software experience, strong C/C++ skills, and microcontroller expertise; automotive protocols and hardware bring-up are a plus.
Build middleware, automation, CI/CD, and observability tooling to scale embedded Linux development productivity for connected vehicle platforms. Requires 7+ years C/C++/Python, Linux systems experience, and strong debugging/automation skills.
Develops and adapts behavioral and motion planning algorithms to expand autonomous driving capabilities to new geofences. Requires Master's in CS or related, 3+ years experience, C++ proficiency, and expertise in AV planning domains.
Develop and maintain high-performance, safety-critical drivers for lidar, radar, and camera sensors integral to autonomous vehicle perception stack. Requires 7+ years experience, strong C++ proficiency, and device driver development expertise.
Develops and maintains high-performance driver software for lidar, radar, and camera sensors critical to autonomous vehicle perception. Requires 5+ years experience, strong C++ proficiency, and device driver development expertise.
Senior GPU performance engineer optimizes GPU-based algorithms for self-driving systems, instruments monitoring tools, analyzes hotspots, and collaborates on middleware for efficient compute utilization. Requires 7+ years experience, strong C++/CUDA expertise, and BS in CS.
Optimizes GPU-based algorithms for self-driving systems by instrumenting, monitoring, analyzing performance hotspots, and porting serial code to GPU. Requires 3+ years experience, strong C++/CUDA skills, BS in CS, and expertise in recent GPU architectures.
Develops high-fidelity 3D rendering engines for AV sensor simulation (cameras, lidar, radar) in SIL/HIL pipelines. Requires 7+ years in C++/Python/GPU programming, 3DGS integration, and technical leadership experience.
Designs and analyzes powertrain safety and fail-operational systems for autonomous vehicles, leading hazard analysis, requirements, and safety concepts. Requires 4+ years experience in electrified powertrains and functional safety standards like ISO 26262.
Develop and implement algorithmic improvements for robot motion planning to enhance safe driving behaviors in complex urban environments. Requires Master's degree, 8+ years experience, C++ fluency, and expertise in planning techniques like A*, RRTs, PRMs.
Validate firmware functionality at component, subsystem, and system levels for vehicle platforms. Develop test plans across HiL, Dyno, and vehicle testing layers while collaborating with firmware and systems engineers.
Develops perception and sensing systems for autonomous vehicles using computer vision, machine learning, and 3D data processing. Requires 7+ years experience, Master's/PhD, and fluency in C/C++.
Develops and implements algorithmic improvements for autonomous robot motion planning to enhance safe driving in complex urban environments. Requires C++ fluency, knowledge of planning techniques like A*, RRTs, PRMs, and real-time algorithm experience.
Develop and test embedded software for Zoox vehicle charging, power management, and electro-mechanical systems. Requires 4+ years real-time embedded C/C++ experience with microcontrollers, automotive protocols (CAN/LIN), and cross-functional collaboration on safety-critical vehicle controls.
Build and enhance systems that flash and update software/firmware across Zoox vehicles, sensors, compute platforms, and ECUs. Requires 7+ years Python experience, embedded Linux knowledge, and strong hardware/software debugging skills.
Part-time student role executing validation cycles and providing on-call support for manufacturing test infrastructure and hardware-software integration stability at Zoox's autonomous vehicle factory. Requires enrollment in relevant engineering degree, 20+ hrs/week on-site availability, and experience with Linux/Git/Jira.
Lead firmware connectivity systems integration and test for Zoox's TCU, owning performance, optimization, and debugging across 4G/5G, WiFi, and satellite networks. Requires 8+ years experience and deep expertise in cellular protocol stacks and wireless test platforms.
Develop, optimize, and maintain board support packages, drivers, and low-level frameworks for real-time embedded platforms in Zoox vehicles. Requires 3+ years embedded software experience, strong C/C++ skills, and microcontroller expertise; automotive protocols and hardware bring-up are a plus.
Build middleware, automation, CI/CD, and observability tooling to scale embedded Linux development productivity for connected vehicle platforms. Requires 7+ years C/C++/Python, Linux systems experience, and strong debugging/automation skills.
Develops and adapts behavioral and motion planning algorithms to expand autonomous driving capabilities to new geofences. Requires Master's in CS or related, 3+ years experience, C++ proficiency, and expertise in AV planning domains.
Develop and maintain high-performance, safety-critical drivers for lidar, radar, and camera sensors integral to autonomous vehicle perception stack. Requires 7+ years experience, strong C++ proficiency, and device driver development expertise.
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Develops and maintains high-performance driver software for lidar, radar, and camera sensors critical to autonomous vehicle perception. Requires 5+ years experience, strong C++ proficiency, and device driver development expertise.
Senior GPU performance engineer optimizes GPU-based algorithms for self-driving systems, instruments monitoring tools, analyzes hotspots, and collaborates on middleware for efficient compute utilization. Requires 7+ years experience, strong C++/CUDA expertise, and BS in CS.
Optimizes GPU-based algorithms for self-driving systems by instrumenting, monitoring, analyzing performance hotspots, and porting serial code to GPU. Requires 3+ years experience, strong C++/CUDA skills, BS in CS, and expertise in recent GPU architectures.
Develops high-fidelity 3D rendering engines for AV sensor simulation (cameras, lidar, radar) in SIL/HIL pipelines. Requires 7+ years in C++/Python/GPU programming, 3DGS integration, and technical leadership experience.
Designs and analyzes powertrain safety and fail-operational systems for autonomous vehicles, leading hazard analysis, requirements, and safety concepts. Requires 4+ years experience in electrified powertrains and functional safety standards like ISO 26262.
Develop and implement algorithmic improvements for robot motion planning to enhance safe driving behaviors in complex urban environments. Requires Master's degree, 8+ years experience, C++ fluency, and expertise in planning techniques like A*, RRTs, PRMs.
Validate firmware functionality at component, subsystem, and system levels for vehicle platforms. Develop test plans across HiL, Dyno, and vehicle testing layers while collaborating with firmware and systems engineers.
Develops perception and sensing systems for autonomous vehicles using computer vision, machine learning, and 3D data processing. Requires 7+ years experience, Master's/PhD, and fluency in C/C++.
Develops and implements algorithmic improvements for autonomous robot motion planning to enhance safe driving in complex urban environments. Requires C++ fluency, knowledge of planning techniques like A*, RRTs, PRMs, and real-time algorithm experience.