Computer Vision Engineer (ReID + Tracking)

Reposted 21 Days Ago
Be an Early Applicant
San Francisco, CA
In-Office
160K-220K Annually
Junior
Artificial Intelligence • Logistics • Robotics • Transportation
The Role
The Computer Vision Engineer will develop Re-ID embeddings and multi-object tracking systems, optimize model deployment for real-time performance, and ensure accuracy in robotic systems.
Summary Generated by Built In
About Nimble

Nimble is a frontier robotics and AI company building the next era of autonomous logistics. We design, manufacture, and deploy intelligent robots that enable fast, efficient, and sustainable commerce at global scale. Our team is building generalized robot intelligence and developing the world’s first generalist super-humanoid robots capable of performing all core warehouse workflows with superhuman performance.

We recently closed a $106M Series C at a $1B valuation, and we are continuing to grow our world-class team. Our long-term vision is to create the Autonomous Supply Chain—reinventing how goods move through factories, warehouses, and last-mile distribution using next-generation intelligent robotic systems.

Nimble was founded out of Stanford and Carnegie Mellon’s top AI labs and is backed by the world’s most prestigious investors. Our board includes iconic leaders in AI and robotics such as Marc Raibert (Founder of Boston Dynamics), Fei-Fei Li (Former Chief Scientist of AI at Google, Director of Stanford’s AI lab), and Sebastian Thrun (Waymo, Founder of Google X, Kitty Hawk, and Udacity).

Join us and leave your mark on the future of robotics, AI, and global commerce.

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 conventions and overcome constraints.
Be legendary - Pursue excellence and craft work that inspires.
Be humble - Prioritize growth, learning, and the mission over ego.
Be dependable - Take ownership and deliver with integrity.

About the Role
We are looking for a Computer Vision Engineer (ReID + Tracking) to join our growing robotics team. You will play a critical role in working with our world-class cross-functional team to help develop and build the world’s most advanced robotic systems for the world’s biggest robotics opportunity!

Responsibilities

  • Own end-to-end development of Re-ID embeddings and multi-object tracking (MOT): data pipelines, model training, association logic, and real-time inference.
  • Build object tracking models that are robust to occlusions, and similar objects.
  • Optimize for production: quantization, TensorRT/ONNX export, Jetson/edge deployment, and monitoring for drift and accuracy.
  • Partner with robotics, controls, and software teams to verify each pick and pack, ensuring order accuracy.

Qualifications

  • Bachelors, Masters, or PhD in Computer Science or related field, or equivalent experience
  • 2+ years of industry experience
  • Deep experience with object reidentification, multi-object tracking.
  • Proven track record shipping CV systems from prototype to production (MLOps, dataset curation, continuous evaluation, A/Bs).
  • Hands-on optimization skills for real-time performance on GPUs/edge accelerators.

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

Computer Vision
Jetson
Mlops
Multi-Object Tracking
Onnx
Re-Id
Tensorrt
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The Company
HQ: San Francisco, CA
108 Employees
Year Founded: 2017

What We Do

Nimble is pioneering intelligent robotic manipulation to reinvent eCommerce fulfillment. Our founding team comes from the AI labs at Stanford and Carnegie Mellon. We're backed by famed robotics and AI legends like Fei-Fei Li and Sebastian Thrun.

Today, we provide end-to-end robotic picking solutions for goods-to-person picking, put-wall sorting and induction for eCommerce order fulfillment. Our robots integrate into production in 1 day requiring no changes to the WMS/WCS. Our solutions provide a stable labor force, cost savings, reduction in staffing churn, and boosted efficiencies. Using our proprietary human-in-the-loop supervision and AI framework we deliver unmatched reliability in handling any product from day 1.

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