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Staff Software Engineer, Devices Platform

Who We Are
Nuro exists to better everyday life through robotics. Founded in 2016, Nuro has spent eight years developing autonomous driving (AD) technology and commercializing AD applications. The Nuro Driver is our world-class autonomous driving system that combines AD hardware with our generalized AI-first self-driving software. Built to learn and improve through data, the Nuro Driver is one of the few driverless autonomous technologies on public roads today.

Who We Are
Nuro exists to better everyday life through robotics. Founded in 2016, Nuro has spent eight years developing autonomous driving (AD) technology and commercializing AD applications. The Nuro Driver is our world-class autonomous driving system that combines AD hardware with our generalized AI-first self-driving software. Built to learn and improve through data, the Nuro Driver is one of the few driverless autonomous technologies on public roads today.
Nuro has raised over $2B in capital from Fidelity, Bailie Gifford, T. Rowe Price, Google, and other leading investors. We’ve partnered with some of the world’s most respected brands including Uber, FedEx, Domino’s, Walmart, Kroger, and 7-Eleven.
About The Role
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 on embedded SOCs
• 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
  

• Domain experience: Experience in robotics or autonomous driving systems
• Technical excellence: Proven ability to deep dive, hands on, into complex embedded and 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 kernel-level algorithmic correctness and performance optimization
• Reliability Experience: Experience with finding and solving one-in-a-million type reliability bugs in software/hardware systems
• Leadership Experience: Experience leading technical projects which include components which should by design never fail (99.9999+% success rate)
• 8+ years of experience with a bachelor’s or master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field; 6+ years of experience with a Ph.D degree
• Clear and concise communicator who collaborates effectively with engineers, PMs, and other stakeholders
  

• Experience in robotics hardware components, including sensors, embedded platforms (with multiple CPUs, GPUs, ISPs, and accelerators)
• 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
• 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
• Experience with programming peripheral devices and device communication protocols such as USB, SPI, I2C, UART
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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