Staff Software Engineer, Onboard Infrastructure

Nuro•Mountain View, CA

2d•Onsite

About The Position

Nuro is seeking a Staff Technical Lead on the Onboard Infrastructure team to define and build the high-performance, highly reliable foundation of the Nuro Driver. This role involves Device Platform, Performance, and Onboard Systems, requiring deep technical leadership across sensor and compute integration, onboard runtime systems, distributed execution, and autonomy software performance. The ideal candidate 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. Responsibilities include leading system-wide performance and reliability efforts, such as latency reduction, resource efficiency, observability, automated validation, and tooling for debugging complex onboard systems. This is a highly cross-functional and high-impact role requiring partnership 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. The company is 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.

Requirements

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.

Nice To Haves

Master’s degree or PhD in CS, EE, Computer Engineering, Robotics, or a related field.
Experience with robotics hardware, sensors, embedded compute platforms, or autonomous vehicle systems.
Deep knowledge of Linux, device drivers, computer architecture, kernel behavior, and communication protocols such as Ethernet, PCIe, USB, SPI, I2C, or UART.
Experience with high-performance communication, IPC, networking stacks, logging, monitoring, diagnostics, or data collection systems.
Experience with GPU programming, NVIDIA platforms, CUDA, image processing, machine learning infrastructure, or accelerated compute.
Experience working with hardware suppliers or integrating next-generation sensor and compute platforms.

Responsibilities

Define and drive technical direction for Nuro’s onboard infrastructure across Device Platform, Performance, and Onboard Systems.
Architect core onboard systems for embedded compute, sensor integration, runtime frameworks, inter-device communication, and distributed execution across current and future vehicle platforms.
Lead system-level performance and reliability efforts, including latency reduction, resource efficiency, memory management, thread/process lifecycle management, observability, automated testing, and continuous validation.
Build foundational libraries, APIs, tools, and frameworks that enable autonomy and infrastructure teams to develop reliable, low-latency, high-performance software.
Develop onboard distributed systems, including high-performance communication between compute nodes, module orchestration, monitoring, logging, diagnostics, and large-scale autonomy/sensor data pipelines.
Diagnose complex, hard-to-reproduce failures across software, hardware, sensors, compute, networking, and autonomy workloads; drive root cause, mitigation, and long-term prevention.
Partner with autonomy, hardware, safety, validation, operations, and suppliers to define requirements, evaluate and integrate next-generation platforms, and ensure safe, reliable deployment.
Translate ambiguous product, safety, and autonomy needs into scalable technical architecture; align teams on design direction, execution plans, interfaces, and long-term platform strategy.
Mentor engineers, establish engineering best practices, and raise the technical bar across Onboard Infrastructure and partner teams.