AI Robotics Research Engineer

Nimble is an AI robotics company building the autonomous supply chain to power fast, efficient and economical commerce. We’re training robot AGI to power a proprietary generalist supply chain superhumanoid, the first robot in the world capable of performing thousands of tasks across the supply chain. We’ve raised over $220M at over $1B valuation and formed a strategic alliance with FedEx to build a national network of autonomous warehouses capable of generating many billions in annual revenue. We are a hardcore and obsessed team of the world’s best engineers and operators. If you are obsessed with your craft, enjoy a high-intensity and fast moving high impact environment, are super high agency in getting hard things done and want to be part of building the world’s most legendary robotics company at the most pivotal moment in history, we want to work with you.

We are on a mission to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. We will accomplish this by training robot AGI to invent and build the Autonomous Supply Chain – everything from the inside of factories and warehouses to your front door – powered by generalist superhumanoids.

Our founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including Fei-Fei Li (Chief Scientist of AI at Google and Director of Stanford’s AI Lab), Marc Raibert (founder of Boston Dynamics), and Sebastian Thrun (founder of GoogleX, Waymo; Stanford Professor and considered the father of autonomous vehicles).

Let’s be legendary.

Responsibilities

• Develop and train diffusion policies, VLMs, multi-agent deep RL policies and more


• Develop data collection pipelines


• Design data annotation and labeling


• Support implementation of models into production systems

Qualifications

• Masters or P.h.D in Robotics or Computer Science


• Experience training deep learning models for robotic manipulation or mobility


• Experience working with real robotic hardware


• Experience training models in simulation and developing simulation environments


• Experience collecting custom datasets


• Experience training on open-source datasets


• Strong track record of publishing papers and/or deploying real-world applications


• Experience with system architecture, design and development

Additional Requirements

• Must be able to work extended hours and weekends as needed


• Must be able to work in San Francisco