Senior Computer Vision Engineer
Nimble RoboticsSan Francisco, CA$162k – $270kPosted 19 April 2026
Job Description
Applicants are instructed to email your resume to Shannon Zheng @ Shannon.zheng@nimble.ai.
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.
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
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.
Position Duties:
Develop large-scale distributed systems and data processing systems.
Develop advanced algorithms to obtain optimal real-time performance.
Design APIs for testability, scalability, usability and maintainability.
Develop and maintain massive data infrastructure.
Provide input on all aspects of product development from brainstorming to final delivery.
Welcome new challenges and work independently across disciplines to both investigate issues and identify solutions.
Design and own architectural components of the system.
Establish best practices for software engineering and algorithm development.
Position Requirements:
Requires a Bachelor’s Degree in Computer Science, Computer Vision, Electrical Engineering, or a related field and
three (3) years of experience in Software Development, or related position, plus demonstrated experience in or knowledge of the following:
Writing production code in Python and/or C++
Advanced Python/C++ programming
Ability to identify and resolve bugs and issues
3 years’ experience with Linux or embedded Linux
Compensation:
From $161,637 to 270,000 per year. This amount meets or exceeds the prevailing wage as determined by the U. S. Department of Labor. Compensation may vary inside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the employee’s total compensation package that is p ... (truncated, view full listing at source)
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