Senior Computer Vision Engineer at Nimble Robotics

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Jul, 26

Salary

270000.0

Posted On

19 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Vision, Python, C++, Linux, Embedded Linux, Distributed Systems, Data Processing, Algorithm Development, API Design, Software Engineering, Robotics, Debugging, System Architecture, Scalability, Testability

Industry

Robotics Engineering

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 provided to compensate and recognize employees for their work. 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

Responsibilities

Develop and maintain large-scale distributed systems, data infrastructure, and advanced algorithms for real-time robotic performance. Design scalable APIs and own architectural components while establishing best practices for software engineering.