Nimble Robotics Logo

Nimble Robotics

AI Robotics Research Engineer

Reposted 25 Days Ago
Be an Early Applicant
San Francisco, CA
106K-106K
Mid level
San Francisco, CA
106K-106K
Mid level
The AI Robotics Research Engineer will develop and implement advanced AI models for robotics, focusing on training deep learning models and working with robotic hardware and simulation environments.
The summary above was generated by AI
About Nimble

Nimble is a robotics and AI company inventing and scaling autonomous logistics with intelligent robots to enable fast, efficient, and sustainable commerce. We’re developing generalized robot intelligence and building general-purpose mobile manipulator robots, the first in the world capable of performing all core warehouse functions. We've recently closed a $106M Series C funding round at a $1 billion valuation and we're continuing to grow our all-star team.

Our mission is to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial.

Our long-term vision is to invent the Autonomous Supply Chain – everything from the inside of factories and warehouses to your front door – using next-gen intelligent robotics to deliver faster, more efficient, and more sustainable commerce.

We were founded from the AI labs at Stanford and Carnegie Mellon. We’re backed by the World’s most prestigious investors and Nimble’s Board of Directors includes AI and robotics legends like like Marc Raibert (Founder of Boston Dynamics), Fei-Fei Li (Chief Scientist of AI at Google, Director of Stanford’s AI lab), and Sebastian Thrun (Founder of Google X, Waymo, Kitty Hawk, and Udacity)! 

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?
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 the status quo. Make the impossible, possible. Do whatever it takes.
Be legendary - Be the best at whatever it is that you do. Leave your mark. Motivate and inspire others.
Be humble - Leave your ego behind. Have a growth mindset. Learn and improve yourself every day.
Be dependable - Take ownership and deliver. Be loyal to your team and Nimble's mission.

The Role

Nimble is looking for a AI Research Engineers 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

  • M.S. 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

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 relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit!

Press:

Link: Nimble Closes $106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with FedEx 

Link: FedEx Announces Expansion of FedEx Fulfillment With Nimble Alliance

Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws.


Nimble's Benefits

Paid Time Off
Enjoy the time you need to travel, rejuvenate, and connect with friends and family.

Health Insurance
Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family.

Paid Parental Leave
Enjoy paid bonding time following a birth.

Commuter Benefits
Take the stress out of commuting with access to fully-paid parking spots. 

Referral Bonus
Get a cash bonus for any friend or colleagues that you refer to us that we end up hiring. 

401k
Contribute towards a 401k for retirement planning.

Equity
Be an owner in Nimble through our equity program

Top Skills

Data Collection Pipelines
Deep Learning
Python
Reinforcement Learning
Robotics
Simulation Environments
Vision-Language-Model
HQ

Nimble Robotics San Francisco, California, USA Office

San Francisco, CA, United States, 94103

Similar Jobs

18 Days Ago
Alameda, CA, USA
133K-172K Annually
Senior level
133K-172K Annually
Senior level
Security • Software • Database
As a Senior Vehicle Infrastructure Engineer, you will manage vehicle networking, optimize satellite data, lead system integration, and ensure security practices while working collaboratively across teams.
Top Skills: BashEmbedded LinuxLinuxNetworkingNvidia JetpackPythonSatellite Communication
16 Days Ago
Los Angeles, CA, USA
53-55 Annually
Senior level
53-55 Annually
Senior level
Edtech
The Programmer Analyst III will design, code, and maintain complex software applications, providing leadership to programmers while developing advanced data repositories.
Top Skills: AjaxAngularCSSDjangoFlaskGitGitHTMLJavaJavaScriptJenkinsJqueryJSONLinuxMySQLPythonReactSpring BootTomcatXML
14 Days Ago
Costa Mesa, CA, USA
155K-215K Annually
Senior level
155K-215K Annually
Senior level
Aerospace • Artificial Intelligence • Hardware • Robotics • Security • Software • Defense
As a Senior Development Engineer, you will conduct hardware testing, lead design reviews, and support hardware demonstrations, ensuring high-quality engineering standards.
Top Skills: CadMatlabNxPythonTeamcenter

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account