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Manage software operations by improving procedures and quality control processes, aligning offshore vendor teams, and enhancing documentation standards.

Build and improve scalable HD map generation and release pipelines for autonomous driving. Develop workflows for first-party and third-party map data, manage internal data-access APIs, optimize existing tools, and collaborate with mapping teams. The role requires production-quality software development, debugging, distributed systems or data-processing experience, advanced C++ or Python algorithms, multithreading, and performance optimization.

Develop and test safety-critical embedded C software for multicore automotive microcontrollers, including RTOS components, drivers, middleware, bootloaders, actuator interfaces, and fault management. Integrate autonomy software with vehicle platforms using CAN and Ethernet, perform vehicle bring-up and debugging, maintain verification infrastructure, and work within ISO 26262 processes. Collaborate with systems, safety, hardware, controls, autonomy, OEM, and supplier engineering teams.

Designs, integrates, validates, and releases autonomous vehicle hardware, including electronics and sensor packaging. Responsibilities span concept development, vehicle integration, supplier coordination, prototype building, manufacturing readiness, reliability testing, quality improvements, cost reduction, and production support. The role collaborates with vehicle partners, manufacturing and quality teams, and cross-functional engineering groups to deliver durable, high-volume hardware for Nuro’s Level 4 autonomy systems.

Own technical program execution for Nuro’s autonomy team, including validation processes, long-term roadmap planning, cross-functional issue resolution, performance tracking, operating rhythms, and large project delivery. Partner with autonomy engineers, technical program managers, and leadership to manage risks, decisions, tradeoffs, and progress across complex initiatives.

Lead technical execution for Nuro’s robotaxi partnership, coordinating autonomy, hardware, AI platform, business, and external partner teams. Own launch and scale-up critical paths across multiple cities, including milestones, dependencies, risks, issues, and decisions. Drive cross-functional problem resolution, communicate progress to leaders, build partner relationships, and use data to measure program performance.

Design and implement automated verification and validation pipelines, unified triage workflows, and testing tools for autonomous driving systems. Lead root cause analysis, identify testing gaps, translate them into technical requirements, and collaborate with Simulation, Data Platform, and Infrastructure teams. Provide technical guidance, code review, and documentation while generating safety-case evidence through scalable, data-driven testing processes.

Design and deploy production controls software for Level 4 autonomous vehicles. Develop control strategies connecting planning and vehicle systems across parking lots, highways, weather conditions, and varied road surfaces. Integrate controls with new vehicle platforms, apply classical, modern, and machine-learning control methods, and collaborate with autonomy, hardware, testing, and systems teams while following ISO 26262 safety standards.

Own cross-functional technical programs supporting AI platform reliability and driverless readiness. Manage systems verification and validation tooling, reliability metrics, execution plans, issue triage, dependencies, and risk assessments. Coordinate AI Platform, Systems, Hardware, Autonomy, and Vehicle Operations teams; translate field failures into engineering priorities; improve testing, troubleshooting, intervention, and recovery workflows; and report progress to leadership.

Develop production-grade controls software for autonomous vehicles, integrate the Nuro Driver platform with new vehicle platforms, and perform vehicle bring-up, controls tuning, testing, and debugging. The role requires expertise in vehicle dynamics, classical and modern controls, embedded C/C++, automated driving systems, and functional safety standards. Engineers collaborate with OEMs and cross-functional teams to define requirements and achieve safety, performance, quality, and drivability targets.