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Nimble Robotics

AI-powered robotic fulfillment for eCommerce logistics

Robot Software Test Engineer

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • A BS or MS in Computer Science, Robotics, Electrical Engineering, Computer Engineering, or a related field.
  • At least one year of experience in software testing, robotics or embedded validation, or test automation.
  • Strong programming ability in Python and Rust or C++.
  • Experience building automated test frameworks and continuous integration pipelines.
  • Familiarity with robotics or embedded middleware such as ROS, ROS2, or custom control frameworks, as well as fault injection and logged-data replay.
  • Rigorous approach to requirements traceability and defect management.

Responsibilities

  • Design, develop, and maintain the full robot-stack regression suite, including happy-path, fault-injection, and recovery testing across software modules, hardware-in-the-loop, and software/hardware interfaces.
  • Build automated integration tests and logged-data replay/scenario suites to detect performance drift across software and model updates before deployment.
  • Own test case management and traceability; define pass/fail criteria and triage failures with robotics software, embedded, and hardware-in-the-loop owners.
  • Integrate regression testing into continuous integration so releases are validated at both the software and full-robot levels ahead of fleet rollout.
  • Partner with the Systems Integration team on hardware-in-the-loop coverage and with deployment teams to reproduce and prevent field-reported regressions.

Desired Qualifications

  • Senior-level experience is preferred.

About the Company

Nimble Robotics

AI-powered robotic fulfillment for eCommerce logistics

Nimble Robotics uses artificial intelligence to optimize eCommerce logistics and supply chains, coordinating fulfillment and inventory planning to speed deliveries and improve accuracy. Its system includes robotic fulfillment hardware that handles items that fit in a bin, with oversized items processed manually, and works via plug‑and‑play integrations with Shopify, Netsuite, and Skubana on a pay‑as‑you‑go, no-upfront-capex model plus pilot options. It differentiates itself by combining AI‑driven optimization with robotic fulfillment and a hands‑off support model backed by engineers and leaders from robotics and logistics, plus flexible pilots. The goal is to help brands—from startups to Fortune 500s—scale fulfillment efficiently, reduce delivery times, and boost sales and customer satisfaction without upfront costs.

Company size
201-500
Company stage
Series C
Total funding
$221M
Headquarters
San Francisco, CA
Founded
2017

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