Senior Data Engineer

Nimble Robotics is a cutting-edge robotics and AI company that recently secured $106M in Series C funding at a $1 billion valuation. Founded from the AI labs at Stanford and Carnegie Mellon, they're developing generalized robot intelligence and building general-purpose mobile manipulator robots for autonomous logistics.

As a Senior Data Engineer, you'll be instrumental in scaling their data engineering efforts and driving the design and development of data infrastructure across their products and internal tools. This role combines the excitement of working on advanced robotics systems with the challenges of building robust data pipelines and infrastructure.

The position offers an opportunity to work with a world-class cross-functional team and contribute to what they describe as the "world's biggest robotics opportunity." You'll be responsible for designing and maintaining scalable data pipelines using Databricks, managing ETL processes, and ensuring data integrity across various systems.

The company culture emphasizes being "relentlessly resourceful," "legendary," "humble," and "dependable." They're backed by prestigious investors and their Board includes robotics and AI luminaries like Marc Raibert (Boston Dynamics), Fei-Fei Li (Stanford's AI lab), and Sebastian Thrun (Google X).

The role offers competitive compensation ($170,000-$210,000) and comprehensive benefits including medical, dental, and vision insurance, 401k, equity, paid parental leave, and commuter benefits. This is an in-person position at their San Francisco office, requiring 4-6 years of experience and strong expertise in Python, Java, and data engineering technologies.

For the right candidate, this represents an opportunity to join a well-funded, ambitious company that's working on transforming commerce through robotics and AI. You'll be part of a team that's not just building products, but shaping the future of autonomous logistics and supply chain automation.