Staff Software Engineer

2 weeks ago


Mountain View, California, United States Nuro Full time
About Nuro

Nuro exists to improve everyday life through robotics. Founded in 2016, Nuro has developed autonomous driving (AD) technology and commercialized AD applications. Our world-class autonomous driving system, the Nuro Driver, 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.

We've raised over $2B in capital from leading investors and partnered with respected brands like Uber, FedEx, Domino's, Walmart, Kroger, and 7-Eleven. We take a machine-learning-first approach to autonomous driving technology. In an ML-first system, the overall system performance depends heavily on the quantity and diversity of its training and evaluation data.

About the Role

This role plays a crucial part in advancing autonomous driving systems by creating a scalable and reliable data infrastructure. This infrastructure is designed to produce training and evaluation data derived from both on-road collected logs and simulation logs. You'll collaborate closely with system engineers to thoroughly validate the autonomous driving system before its deployment.

About the Work

You'll design and develop unified, introspectable, large-scale batch and streaming data pipelines that can ingest and process data across a wide range of use cases relevant to evaluation. You'll create and implement a storage system capable of accommodating both the large volume and diverse range of evaluation and performance metrics. Additionally, you'll construct intuitive dashboards and reports to present evaluation results, facilitating straightforward comparisons that highlight both improvements and regressions of the ML components and the overall system. You'll develop and maintain continuous testing and monitoring systems to guarantee the integrity and resilience of our data and associated data pipelines.

About You

For this role, you'll need a degree in a relevant field, such as Computer Science, Electrical Engineering, or a closely related field. You'll also need strong proficiency in Python or similar languages. Experience working with large-scale data and building scalable & reliable systems/data pipelines is a must. You should be able to understand and design complex systems. You'll also work closely with the team to set project product and technical vision, timelines, and prioritization. Additionally, you'll drive technical standards and best practices across the broader software organization.

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