About Nimble
In order to make an application, simply read through the following job description and make sure to attach relevant documents.
Nimble is a robotics and AI company inventing and scaling autonomous logistics with intelligent robots to enable fast, efficient, and sustainable commerce. We develop generalized robot intelligence and build general-purpose mobile manipulator robots, the first capable of performing all core warehouse functions. Recently, we closed a $106M Series C funding round at a $1 billion valuation and are growing our team.
Our mission is to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from menial tasks.
Our long-term vision is to invent the Autonomous Supply Chain-covering factories, warehouses, and delivery to your front door-using next-gen intelligent robotics for faster, more efficient, and sustainable commerce.
Founded from AI labs at Stanford and Carnegie Mellon, we are backed by prestigious investors. Nimble's Board includes AI and robotics legends like Marc Raibert, Fei-Fei Li, and Sebastian Thrun.
Join us to leave your mark on the future of robotics, AI, and logistics.
Link: Introducing Nimble - Intelligent Fulfillment Robots at Scale
Why Join Nimble?
We are committed to building legendary products, a legendary team, and a lasting legacy. Join our ambitious, humble, and resourceful culture where your work impacts the future of robotics and commerce.
Nimble's Core Values:
- Be relentlessly resourceful
- Challenge the status quo. Make the impossible possible. Do whatever it takes.
- Be legendary
- Be the best at what you do. Leave your mark. Inspire others.
- Be humble
- Leave ego behind. Have a growth mindset. Learn and improve daily.
- Be dependable
- Take ownership and deliver. Be loyal to your team and mission.
The Role
Nimble is seeking AI Research Engineers to 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 for multi-agent robot fleets.
You will work with our cross-functional team to build models with immediate real-world applications in robotics.
Responsibilities
- Develop and train diffusion policies, VLMs, multi-agent deep RL policies, and more
- Create data collection pipelines
- Design data annotation and labeling processes
- Support model deployment into production systems
Qualifications
- M.S. or Ph.D. in Robotics or Computer Science
- Experience training deep learning models for robotic manipulation or mobility
- Experience working with real robotic hardware
- Experience developing simulation environments and training in simulation
- Experience collecting custom datasets and training on open-source datasets
- Strong publication record and/or deployment of real-world applications
- Experience with system architecture, design, and development
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