Top Tech Jobs & Startup Jobs

Develop and maintain embedded Linux operating systems for autonomous vehicle devices. Configure Yocto build systems and U-Boot bootloaders, develop device drivers and kernel components in C, C++, or Rust, optimize performance, support hardware bring-up and manufacturing, and collaborate across software, hardware, release, and operations teams.

Build and operate Zoox’s continuous deployment platform, including its paved path, reliability, safety controls, and adoption across application teams. Partner with SRE and engineering teams to migrate services, turn recurring deployment friction into platform capabilities, establish safe production release standards, and mentor engineers. The role requires expertise in platform or infrastructure engineering, Kubernetes, container deployments, continuous delivery systems, programming, and infrastructure as code.

Leads technical program management for prototype sensor and compute hardware through high-volume manufacturing. Coordinates engineering, software, vehicle, product, manufacturing, quality, supply chain, finance, and contract manufacturing teams. Oversees roadmaps, schedules, production readiness, capacity planning, ramp milestones, budgets, resources, risks, and issue resolution. Establishes program processes and decision forums, communicates status to stakeholders, and manages Technical Program Managers.

Optimize GPU performance for Zoox’s motion planner, including profiling GPU hotspots, adapting software to multiple GPU architectures, reducing ML model latency and memory usage, and developing or optimizing CUDA kernels. Serve as a CUDA and GPU performance subject matter expert while working with complex multiprocess robotic systems in a Linux and C++ environment.

Own the triage program for autonomous vehicle fleet and simulation events. Lead defect classification and routing, monitor triage metrics, manage intake and escalations, coordinate tooling and automation, and forecast quarterly capacity across internal and vendor teams. Partner with software, QA, safety, product, vehicle operations, and program management stakeholders to improve accuracy, throughput, automation, and issue resolution.

Optimize GPU-based motion-planning algorithms for latency, memory usage, and resource utilization. Analyze performance metrics, identify GPU hotspots, adapt the planner across GPU architectures, optimize machine-learning models, and support engineers as a CUDA and GPU-performance subject matter expert. The role involves C++ development in large codebases, Linux environments, and debugging and profiling complex multiprocess robotic systems.

Define and lead vehicle experience product areas across current and future autonomous vehicle platforms. Own product execution throughout the lifecycle, understand customer and market needs, prioritize features, and align product strategy with business goals. Serve as Product Owner across hardware, firmware, software, and operations teams, driving cross-functional decisions and scalable, customer-focused vehicle experiences.

Owns diagnostic deployment for current and future service vehicle fleets, from requirements through release. Improves fault isolation, diagnostic quality, and time-to-diagnose using fleet data; maintains traceability across requirements, implementation, testing, and field performance. Defines service actions, develops prognostic and predictive-maintenance features, establishes diagnostic metrics, and drives continuous improvement with systems, firmware, software, service engineering, and fleet operations teams.

Leads Zoox’s perception data organization and data flywheel, connecting fleet signals, data discovery, curation, annotation, model training, evaluation, and performance measurement. Manages a multidisciplinary team of data science, data engineering, and labeling professionals. Drives automated annotation, intelligent mining of rare and safety-critical scenarios, log selection and storage, and rigorous tradeoffs among data quality, cost, speed, and scale. Partners with machine learning, metrics, evaluation, and infrastructure teams to improve autonomous-driving models.

Develop mission-planning algorithms for autonomous vehicles, including graph search and behavioral-planning integration. Build, test, and improve software directly on robotic platforms while collaborating across Mission Planning, Cloud Services, and vehicle autonomy teams. Contribute to technical direction, coordinate cross-functional initiatives, and create scalable solutions for sequential decision-making under uncertainty using MDPs and related frameworks.