Software Engineer, Nuro

• Domain experience: Experience developing cloud infrastructure and web services, in robotics or autonomous driving systems
• Technical excellence: Proven ability to deep dive into complex simulation and test systems, programming in Python, with (at least) reading ability of C++/C code for triaging SW issues
• AI capabilities: Experience using generative AI tooling to create programs and test cases
• 2+ years of experience with a bachelor’s or master’s degree, or a Ph.D. degree, in Computer Science, Electrical Engineering, or a closely related field
• Clear and concise communicator who collaborates effectively with engineers, project managers, and other stakeholders

Desirable

• The Devices Platform team’s mandate is to lay the foundation of Nuro’s onboard sensor pipeline software for our Autonomous Vehicle (AV) platform, including device drivers, inter-device protocols and APIs
• Sensors and compute hardware are the eyes, ears, and brains of our self-driving robots
• We are creating the hardware-agnostic platform for our perception and autonomy SW stack to realize the full potential of our onboard network of sensor devices in reliability, quality, and performance
• Our projects have high impact and high visibility within Nuro
• Our team works with several internal stakeholders and external suppliers to define, evaluate, integrate the next generation HW platform for Nuro’s products and to build the tooling for continuous testing and validation
• Nuro’s Hardware-In-the-Loop (HIL) systems combine the vehicle’s full sensor suite, compute hardware, and onboard network, running the Nuro Driver autonomy stack, with cloud technologies for test automation, data analysis, and dashboards
• In this role, you will develop and extend the Python-based HIL framework, use AI tools to generate test cases, analyze large-scale test results, and root-cause problems
• You will accelerate AV development via scaling the virtuous feedback cycle between in-lab simulation and on-road deployment
• Design, develop, and manage HIL systems for simulating AV systems with the full sensors, network switching fabric, and compute HW in the lab
• Implement automated testing frameworks for the Nuro Driver autonomy stack
• Leverage generative AI to create manufacturing End-Of-Line (EOL) tests and field diagnostics for scaled vehicle deployment and root-cause analysis
• Combine cloud technologies with on prem HILs to test 24x7 and create dashboards to track test progress and track down issues
• Deliver highly reliable SW through metrics monitoring and automated testing
• Debug complex systems, root-cause failure modes, and deploy effective solutions
• Collaborate with cross-functional partners in HW, fleet infra., and autonomy SW to accelerate validation and on-road deployment of the Nuro Driver