AI Robotics Research Scientist
Nimble RoboticsSan Francisco, CA$200k – $300kPosted 31 March 2026
Job Description
About Nimble
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.
Why Join Nimble?
At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce.
Nimble's Core Values:
Be relentlessly resourceful - Challenge conventions and overcome obstacles.
Be legendary - Be the very best and do work that inspires.
Be humble - Prioritize growth, learning, and doing whatever is needed to further the mission.
Be dependable - Take ownership and deliver with high agency.
The Role
Nimble is looking for an AI Robotics Research Scientist to help us advance our robotics moonshot by designing, developing, training, and implementing robotic foundation models, Vision-Language-Action Models, general-purpose robotic AI models, and reinforcement learning algorithms controlling multi-agent robot fleets.
You will play a critical role in working with our all-star cross-functional team to build models with immediate applications for the world’s biggest robotics opportunity.
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
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
$200,000 - $300,000 a year
The above range is the salary range. This position will also receive generous equity for this position.
Culture:
We embrace challenges and strive to make the impossible possible each day. We’re not in this to do what’s easy or to be mediocre. We want to create something legendary and leave our mark on the world. We’re ambitious, we’re gritty, we’re humble and we’re r ... (truncated, view full listing at source)
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