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Nimble Robotics

AI-powered robotic fulfillment for eCommerce logistics

Robotics Field Engineer

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-timeCypress, TX, USAIn-person

About the Job

Requirements

  • The candidate must have 0–5 years of experience in a production environment supporting and improving complex robotics systems, or at least 2 years of experience combined with a Bachelor of Science degree in Computer Science, Software Engineering, or Robotics.
  • The candidate must have technical curiosity and debugging skills, including the ability to read technical logs and interpret data.
  • The candidate must be proficient in using SQL to analyze production data.
  • The candidate must demonstrate communication and documentation skills.
  • The candidate must be able to work autonomously with minimal supervision.
  • The candidate must be able to work on-call or standby, including weekends and holidays as needed.
  • The candidate must be able to work in a warehouse environment with variable temperatures, including cold, heat, and humidity.

Responsibilities

  • Diagnose and resolve issues within Nimble's fleet of order-fulfilling robots.
  • Alleviate operational issues by debugging Nimble's robotics and fulfillment software.
  • Develop observability tools to facilitate faster and easier mitigation of production issues.
  • Create and maintain detailed documentation in collaboration with support and engineering teams, building a comprehensive guide for system operation and issue resolution.
  • Use a data-driven approach to help prioritize system improvements.
  • Provide timely support to operations teams to enhance system and robot metrics.

Desired Qualifications

  • Hands-on experience with robotics fleet management and autonomous logistics.

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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