Principal Software Engineer (Onboard Infrastructure)

Join Nuro as a Principal Software Engineer (Onboard Infrastructure) and play a key role in defining and building the high-performance, highly reliable foundation of the Nuro Driver. This cross-functional role requires 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. Additionally, you will lead system-wide performance and reliability efforts and partner with various teams to integrate next-generation sensors and compute platforms.

• Definir y construir la base de alto rendimiento y alta fiabilidad de la infraestructura a bordo de Nuro.
• Arquitectar interfaces de dispositivo independientes del hardware, tuberías de comunicación entre dispositivos, API de tiempo de ejecución y plataformas de software a bordo.
• Liderar los esfuerzos de rendimiento y fiabilidad a nivel de sistema, incluyendo la reducción de la latencia, la eficiencia de los recursos, la observabilidad y la validación automatizada.
• 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
• Ability to translate ambiguous requirements into scalable architecture and mentor engineers through design and execution
• 5+ years of technical leadership experience, including leading complex projects, setting technical direction, and driving cross-team alignment
• Experience building reliable, high-performance software for robotics, embedded systems, autonomous systems, distributed systems, or other performance-critical platforms
• Proven ability to diagnose complex performance, reliability, concurrency, and hardware/software integration issues
• Strong systems-level expertise, with the ability to reason across operating systems, device interfaces, runtime frameworks, and application-level workloads
• Strong proficiency in modern C++, with deep experience in concurrency, multi-threading, debugging, memory management, and performance optimization
• 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
• 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