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Nimble, based in San Francisco, seeks a mid-level operations tester to evaluate AI-driven robotic systems in realistic settings. The role emphasizes hands-on hardware testing, log analysis, and documenting failures for engineering action.
You’ll design tests that probe unpredictable model behavior, read sensor outputs, and log results to improve system reliability. This position is on-site in San Francisco, offering direct exposure to AI robotics in a fast-paced fulfillment environment.
Operations · San Francisco, CA · Mid level
Testing robots that run on AI means checking behavior that is not always predictable, so the work leans on well designed test cases and careful observation. AI tools can speed up logging, analysis, and repeat runs, but judgment about what counts as a real failure stays with people. The role sits close to where software meets the physical world, which is where much of the value and risk live.
This role offers direct experience testing AI driven robotic systems in realistic conditions, including how models behave when hardware and sensors are imperfect. Building that experience means learning to design tests for unpredictable behavior, reading logs and sensor data, and documenting failures clearly enough for engineers to act on. Exposure to simulation tools and basic data analysis helps.
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
Nimble provides fully autonomous fulfillment centers powered by AI robotics, per the company.