Test & Reliability Engineer, Robotics Hardware

Job Overview

Test & Reliability Engineer
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.

Key Responsibilities

What You Will Get To Do

• Test & Validation Infrastructure: 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 thermal / shock/ vibration testing, HALT/HASS (Highly Accelerated Life Testing), ingress protection testing (IP54, IP65), and destructive/non-destructive evaluation (X-ray, CT scan).


• Electrical Testing: Test for overcurrent and overvoltage conditions, run EMI/EMC emissions and immunity testing. Manage FCC and CE certification with external test labs.


• Sensor Validation: Test sensor performance (LiDAR, depth cameras, IMU, GPS) across diverse environmental conditions. Validate intrinsic/extrinsic calibration procedures both in-lab and in the field environments.


• Safety & Compliance: Support compliance with relevant safety and quality standards (e.g., ISO 26262 functional safety, SIL, ISO 9001, MIL-STD-810) via third-party certification bodies, and track evolving requirements as the company scales toward global deployments.

2. Manufacturing & Scaling Quality Control

• Incoming & Outbound Quality: Develop incoming quality control (IQC) and outbound quality checks (OQC). Design and execute sampling/AQL plans, including pulling sample units for testing.


• Process & Infrastructure: Build test processes, standards, and best practices for manufacturing and scaling quality control.

About Field AI

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.