Senior Data Engineer

Nimble, a cutting-edge robotics and AI company valued at $1 billion after their recent $106M Series C funding, is seeking a Senior Data Engineer to join their mission of revolutionizing autonomous logistics. Founded from the AI labs at Stanford and Carnegie Mellon, Nimble is developing next-generation intelligent robotics for warehouse automation and the autonomous supply chain.

The role offers an exciting opportunity to work on scaling data engineering efforts crucial to advancing their robotics moonshot. You'll be responsible for designing and developing data infrastructure across their products and internal tools, working with state-of-the-art technologies like Databricks, Kafka, and AWS. The position requires expertise in Python and Java, with 4-6 years of experience in fast-paced tech environments.

This is an ideal opportunity for someone who wants to make a significant impact in the robotics and AI field. You'll be working alongside world-class teams and guided by industry legends, including Marc Raibert (Boston Dynamics founder), Fei-Fei Li (Stanford AI lab director), and Sebastian Thrun (Google X founder). The company culture emphasizes being relentlessly resourceful, legendary in performance, humble in approach, and dependable in delivery.

The compensation package is competitive ($150,000 - $225,000) and includes comprehensive benefits such as medical, dental, and vision insurance, 401k, equity, paid parental leave, and commuter benefits. This full-time, in-person role is based in San Francisco, offering the opportunity to work at the heart of innovation while building the future of autonomous logistics and commerce.