Software Engineer, Sensor Platform

Nuro•Mountain View, CA

About The Position

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. 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.

Requirements

Experience in robotics or autonomous driving systems
Proven ability to deep dive into embedded and real-time systems
Proficiency in C++, with emphasis on concurrency
Familiarity with the role of the Linux kernel in driver performance
2+ years of industry experience
Bachelor's, master's, or Ph.D in degree in Computer Science, Electrical Engineering, or a closely related field
Clear and concise communication
Collaborates effectively with engineers, PMs, and other stakeholders

Nice To Haves

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, or visual cameras
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
Knowledge of networking, full IP protocol stack, from PHY through TCP, UDP, and to application layer

Responsibilities

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
Drive cross-functional projects on sensors and compute for autonomous vehicles