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Nimble Robotics

AI-powered robotic fulfillment for eCommerce logistics

HIL Test / Automation 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 Electrical, Computer, or Robotics Engineering.
  • 1–3+ years of experience validating embedded systems, control software, or robotics firmware; HIL experience is strongly preferred.
  • Strong Python and Rust or C++ skills for automated test scripts and analysis, plus CI/CD experience such as Jenkins.
  • Understanding of digital and analog I/O and robotics communications, including CAN, Ethernet, USB, and Serial; MATLAB/Simulink is a plus.
  • Comfort with requirements traceability and defect management.

Responsibilities

  • Develop and maintain the HIL test environment, combining physical hardware such as ECUs, sensors, and motor controllers with simulated dynamics for stress and fault-injection testing.
  • Build and maintain automated test frameworks, reporting, dashboards, and the AI analyzer; keep CI jobs on the HILs green.
  • Expand the 30+ module self-tests, improve the associated data pipeline, and own regression and smoke test coverage.
  • Integrate high-speed DAQ and bus tracing, including CAN, I2C, and Ethernet, for detailed hardware and firmware diagnostics.
  • Partner with robot software and Nimble Health to improve the simulation models used on the HILs.
  • Lead physical pick/pack testing by evaluating and optimizing SKU pickability, grip reliability, and placement accuracy.

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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