Senior Software Engineer, Devices Platform

Nuro·Mountain View, California (HQ)senior

En corto

→Desarrolla software de bajo nivel para sensores y hardware en vehículos autónomos.
→Trabajas con drivers, protocolos interdispositivo y APIs de tiempo real en Linux.
→Destaca por liderar proyectos críticos con impacto directo en la seguridad y eficiencia del vehículo autónomo.

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¿Qué piden?

✓6+ años de experiencia en software de sistemas (C++ y concurrencia)
✓Experiencia comprobada en robótica o sistemas de conducción autónoma
✓Dominio de programación de drivers y software de bajo nivel en Linux
✓Capacidad para depurar sistemas complejos y root-cause fallas
✓Habilidades de comunicación clara y colaboración multidisciplinaria
✓Grado en Ciencias de la Computación, Ingeniería Eléctrica o campo relacionado

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C++Linux kernelUSBSPII2CUARTRadarLidarCameras visualesNVIDIA GPUs

¿A quién escribirle en Nuro?

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Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Team The Devices Platform team's mandate is to lay the foundation of Nuro's onboard software for our sensor and compute platform, including device drivers, inter-device protocols and pipelines, and device runtime APIs. Sensors and compute hardware are the eyes, ears, and brains of our self-driving robots. We are creating the hardware-agnostic platform to be used by the perception and autonomy SW stack, and to realize the full potential of our sensor and compute HW in reliability, quality, and performance. The projects we work on are high impact and high visibility within Nuro. This team is also responsible for working with internal stakeholders and external suppliers to define, evaluate, integrate the next generation HW platform for Nuro's products and to build the necessary tooling to assist continuous testing and validation. About the Work • Design and develop sensor and compute systems for robotics • Architect and/or deploy Nuro sensors & autonomous SW with high reliability and performance • Deliver reliable SW through metrics monitoring, automated testing, and vendor collaboration • Debug complex systems, root-cause failure modes, and deploy effective solutions • Lead cross-functional projects on sensors and compute for autonomous vehicles • Mentor software engineers to bring them to their full potential About You • Domain experience: Experience in robotics or autonomous driving systems • Technical excellence: Proven ability to deep dive into complex real-time systems; strong proficiency in C++, with emphasis on concurrency; system software development expertise, from the device driver to the application level, with deep understanding of Linux kernel-level algorithmic correctness and performance optimization • 6+ years of experience with a bachelor's or master's degree in Computer Science, Electrical Engineering, or a closely related field; 4+ years of experience with a Ph.D degree • Clear and concise communication • Collaborates effectively with engineers, PMs, and other stakeholders Bonus Points • Experience in robotics hardware components, including sensors, embedded platforms (with multiple CPUs, GPUs, ISPs, and accelerators) • Experience with programming peripheral devices and device communication protocols such as USB, SPI, I2C, UART • Experience with radar, lidar, visual or thermal imaging cameras • Experience with machine learning or image processing • Experience with GPU programming and low level driver optimization for Nvidia GPUs • Knowledge of Linux kernel and device driver level programming, including threading, IPC, shared memory, and synchronization • K

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