Staff Software Engineer, Onboard Infrastructure

As a Staff Technical Lead on Onboard Infrastructure, you will help define and build the high-performance, highly reliable foundation of the Nuro Driver. This role spans Device Platform, Performance, and Onboard Systems, requiring deep technical leadership across sensor and compute integration, onboard runtime systems, distributed execution, and autonomy software performance. You will architect hardware-agnostic device interfaces, inter-device communication pipelines, runtime APIs, and onboard software platforms that enable Nuro’s autonomy stack to run safely and efficiently across current and future vehicle platforms. You will also lead system-wide performance and reliability efforts, including latency reduction, resource efficiency, observability, automated validation, and tooling for debugging complex onboard systems. This is a highly cross-functional and high-impact role. You will partner with autonomy, hardware, safety, validation, operations, and supplier-facing teams to integrate next-generation sensors and compute platforms, resolve reliability and performance issues, and shape the long-term technical direction of Nuro’s onboard infrastructure. We are looking for a technical leader who can operate across team boundaries, align multiple stakeholders, mentor engineers, and deliver robust systems for safety-critical autonomous vehicles.

• Master’s degree or PhD in Computer Science, Electrical Engineering, Computer Engineering, Robotics, or related field. • 8+ years of software engineering experience building production-quality systems software. • 5+ years of technical leadership experience, including leading complex projects, setting technical direction, and driving cross-team alignment. • Strong proficiency in modern C++, with deep experience in concurrency, multi-threading, debugging, memory management, and performance optimization. • Experience building reliable, high-performance software for robotics, embedded systems, autonomous systems, distributed systems, or other performance-critical platforms. • Strong systems-level expertise, with the ability to reason across operating systems, device interfaces, runtime frameworks, and application-level workloads. • Proven ability to diagnose complex performance, reliability, concurrency, and hardware/software integration issues. • Ability to translate ambiguous requirements into scalable architecture and mentor engineers through design and execution.