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: Conduct tests such as
As a Test & Reliability Engineer on the Hardware Team at FieldAI, 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.
Requirements
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Fleet Health Monitoring: Monitor fleet health and uptime, conduct fault testing, performance testing, and system-level validation across integrated mechanical, electrical, embedded, and sensor hardware, and track calibration status across deployed units.
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Failure & Reliability Tracking: Track and report failure rates and reliability metrics (MTBF/MTTR), both internally during development and testing, and across global deployments.
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Fleet Maintenance, Debug, & Retrofits: Work directly with technicians on the test floor and in the field. Support component retrofits, root-cause/RMA failure analysis, and fleet maintenance and calibration on deployed hardware.
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Education: B.S., M.S., or Ph.D. in Mechanical Engineering, Electrical Engineering, Robotics, or a related field.
Experience Level: Minimum of 4+ years of hands-on experience in hardware testing, quality, or reliability engineering. We welcome candidates across mid-level to senior and staff levels. -
Broad Hardware Testing: Experience spanning mechanical and electrical test domains, including environmental and reliability testing (thermal, vibration, HALT, IP54/IP65 ingress testing), run in-house and through third-party test labs and equipment vendors.
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Quality Control: Experience with quality control processes such as incoming QC (IQC), outbound QC (OQC), and sampling/AQL, ideally in ISO 9001-aligned environments.
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Cross Functional Robotic Skills: Comfort working across electrical, mechanical, embedded, and sensor (LiDAR, depth camera) systems, and across embodiments such as wheeled platforms, quadrupeds, and humanoids, to evaluate and validate integrated hardware.
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Communication Protocols: Familiarity with common robotics communication interfaces (USB, Ethernet, CAN, I2C, GMSL) as they relate to test and validation.
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Debugging: Comfort with hardware/software debugging tools (oscilloscopes, logs, power monitors, EMI/FCC analyzers) for fault and failure analysis.
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Systems Thinking: Ability to diagnose and evaluate readiness across mechanical, electrical, thermal, and software layers.
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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
About this job
- Pay per year
- $100,000–$200,000 a year
- 22% above the $122,500 median for Reliability Engineer jobs on Jobera (241 salaries).
- Who can apply
- United States
- Posted
- 113 days ago
Listing Details
- Posted
- July 20, 2026
- First seen
- July 20, 2026
- Last seen
- November 9, 2026
Posting Health
- Days active
- 113
- Repost count
- 0
- Trust Level
- 42%
- Scored at
- November 10, 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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