Nimble Robotics
R&D Test Specialist
San Francisco, CA · Full-time
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DOL prevailing wage, 2026-27 wage year · Software Quality Assurance Analysts and Testers (15-1253) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- We are seeking a highly motivated and skilled R&D Test Specialist to join the System Integration and Testing team.
- In this hands-on role, you will be a key contributor in the testing and validation of our cutting-edge robotics hardware and software systems.
- You will work closely with our engineering team to ensure the capability, reliability and quality of our products by executing detailed test plans, documenting results, and identifying issues.
Responsibilities
- Perform hands-on hardware and software tests for our robotics and automation systems.
- Accurately record and document test results, observations, and issues, data logging with Google Sheets and other digital tools.
- Collaborate with engineers to debug and troubleshoot problems identified during testing.
- Set up, maintain, and calibrate test fixtures and equipment.
- Read and interpret electrical schematics and technical test plan documents to ensure proper test execution.
- Maintain a safe and organized lab and testing environment.
- Nimble is an AI robotics company building the autonomous supply chain to enable fast, efficient, and sustainable commerce.
- We're developing a general-purpose robot AI and a warehouse generalist superhumanoid robot, the first robot in the world capable of performing all core warehouse functions.
- invent the Autonomous Supply Chain - everything from the inside of factories and warehouses to your front door - powered by industry-generalist superhumanoids to deliver faster, more efficient, and more sustainable commerce.
- Be dependable - Take ownership and deliver with high agency.
Requirements
- Proven experience in a hands-on technical role, with a strong background in testing hardware and/or software systems.
- Familiarity with Python scripting for data collection and test automation.
- Strong understanding of data logging and analysis, with proficiency in using tools like Google Sheets or similar platforms.
- Ability to read and understand electrical diagrams and technical specifications.
- Excellent written and verbal communication skills
- comfortable using the Google Suite (Docs, Sheets, Slides, Gmail).
- Strong organizational skills and attention to detail.
- A "can-do" attitude and a passion for hands-on problem-solving.
- Willing and able to work on-site 5 days a week in our San Francisco locations.
Nice to have
- Associate's degree in a technical field or equivalent professional experience is preferred.
Compensation
- $40 - $45/hr
Benefits
- Join us and leave your mark on the future of robotics, AI, and global commerce.
- 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.
- Be humble - Prioritize growth, learning, and doing whatever is needed to further the mission.
- We want to create something legendary and leave our mark on the world.
- Nimble's Benefits
- Health Insurance
- Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family.
- Paid Parental Leave
- Commuter Benefits
- Referral Bonus
- Get a cash bonus for any friend or colleagues that you refer to us that we end up hiring.
- Contribute towards a 401k for retirement planning.
Company info
- We recently closed a $106M Series C at a $1B valuation, and we are continuing to grow our world-class team.
- The Role We are seeking a highly motivated and skilled R&D Test Specialist to join the System Integration and Testing team.
- At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy.
Equal opportunity
- Nimble Robotics, Inc. is an equal opportunity employer.
This listing is sourced directly from Nimble Robotics's careers page and normalized into a canonical job model.