Test & Reliability Engineer, Robotics Hardware
Quick Summary
Work with the team to set up testing infrastructure including internal facilities and relationships with third-party test labs and certification bodies Mechanical Testing:
Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
As a Test & Reliability Engineer on the Hardware Team at Field AI, you will build out our testing and quality control infrastructure across mechanical, electrical, embedded, and sensor systems. Your work ensures hardware is ready to ship and holds up reliably in diverse, challenging field environments such as construction, energy, and mining.
You will partner with engineers throughout the design process to ensure systems meet requirements, develop the tests that validate them before deployment, as well as identify and mitigate issues with the deployed fleet. You may also work across multiple embodiments, including quadrupeds, humanoids, and wheeled platforms.
Responsibilities
~1 min readRequirements
~1 min read-
Scaling: Experience taking systems from prototype to large scale production.
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Field Environments: Experience developing and testing systems for harsh, diverse industrial field environments such as construction, energy, and mining, across global deployments.
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Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots, spanning wheeled, quadruped, or humanoid embodiments.
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Systems Level Robotics: Fluency across mechanical, electrical, and software systems.
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Reliability Engineering: Background in functional safety compliance (ISO 26262, SIL), MTBF/MTTR reliability metrics, fleet maintenance and health monitoring, RMA/failure analysis, and building a test or quality function from the ground up.
Location & Eligibility
Listing Details
- Posted
- July 20, 2026
- First seen
- July 20, 2026
- Last seen
- July 21, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 79%
- Scored at
- July 20, 2026
Signal breakdown

Field AI develops field-proven embodied artificial intelligence (AI) technology, specifically Field Foundation Models™ (FFMs), to enable robots to operate autonomously in complex, real-world environments across various industries.
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