Skip to main content
← Back to search
NR

Member of Technical Staff

Nimble Robotics

Salary undisclosed

San Francisco, CAFull-timeOn-siteExpert

Need a reasonable accommodation to apply or interview? Contact us.

JobMinglr uses automated technology to recommend jobs based on profile information and job preferences. Match Score does not determine eligibility for a position, prevent a user from viewing or applying to a job, or make hiring decisions on behalf of an employer.

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 a Member of Technical Staff 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 VLAs and generalist visuomotor policies to automate thousands of tasks across the supply chain
    • 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
$150,000 - $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 relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit!
 
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
 
Unlimited Flexible 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
 

 

Benefits

  • health insurance
  • vision insurance
  • 401(k)
  • stock options
  • parental leave

About this role

Nimble Robotics is building autonomous supply chain robots and is actively scaling operations through a strategic partnership with FedEx. As a Member of Technical Staff, you'd work on the core technical challenge: developing vision-language-action models and generalist visuomotor policies that enable robots to perform thousands of different tasks across warehouses and fulfillment centers. The work spans the full pipeline—from designing and training foundation models and reinforcement learning algorithms, to building data collection and annotation systems, to supporting deployment into production robotic fleets.

This role demands deep expertise in robotic AI. You'll need a Ph.D. in robotics or computer science, hands-on experience training deep learning models for robotic manipulation and mobility, and proven ability working with real hardware. The position also requires familiarity with simulation environments, custom dataset collection, and experience with open-source datasets. A strong publication record or track record of deployed real-world applications is expected, along with systems-level thinking about architecture and design.

The position is based in San Francisco and requires in-office work, including extended hours and weekends as needed. Compensation is $200,000–$300,000 annually plus equity. This is a high-intensity environment suited to engineers who thrive on ambitious, technically hard problems and want to move quickly on a robotics moonshot backed by significant funding and world-class advisors.

How this employer is doing

solid

  • H1B: Sponsors Visas
  • Recently Raised Funding
  • Sponsors Visas

Typical pay for this role

$140,000

Typical range: $120,000 to $140,000

This role's local market on JobMinglr

Pay for this role

The employer didn't post a pay range for this role. That usually means pay is set in negotiation, which favors whoever arrives with numbers. Check ranges on comparable Member of Technical Staff postings in San Francisco, and analyze any offer before you accept it.

How JobMinglr reads this job

Every listing here is scored against your profile before you apply: skills overlap, experience level, location and work arrangement, each weighted and explained. You see the score and the reasons, not just a list. How the matching works.