FieldAI

FieldAI

Test & Reliability Engineer, Robotics Hardware

Irvine, CA

Sponsorship not specified$100k-$150kDetected 2 days ago
NLPOutbound SalesSupply ChainEMI/EMCMIL-STDRoboticsMechanical DesignElectrical EngineeringSensorsLoad TestingCommunication

About the role

  • Your work ensures hardware is ready to ship and holds up reliably in diverse, challenging field environments such as construction, energy, and mining.
  • You may also work across multiple embodiments, including quadrupeds, humanoids, and wheeled platforms.
  • Work with vendors and contract manufacturers on component qualification, supply chain considerations, and quality-related testing.

Responsibilities

  • Manage FCC and CE certification with external test labs.
  • Develop incoming quality control (IQC) and outbound quality checks (OQC).
  • Design and execute sampling/AQL plans, including pulling sample units for testing.
  • Build test processes, standards, and best practices, evolving them as the team and fleet scale.
  • Maintain test procedures, equipment logs, and calibration traceability records.

Requirements

  • Minimum of 4+ years of hands-on experience in hardware testing, quality, or reliability engineering.
  • Familiarity with common robotics communication interfaces (USB, Ethernet, CAN, I2C, GMSL) as they relate to test and validation.
  • Ability to diagnose and evaluate readiness across mechanical, electrical, thermal, and software layers.
  • Experience Level: Minimum of 4+ years of hands-on experience in hardware testing, quality, or reliability engineering.

Nice to have

  • Experience with quality control processes such as incoming QC (IQC), outbound QC (OQC), and sampling/AQL, ideally in ISO 9001-aligned environments.
  • Quality Control: Experience with quality control processes such as incoming QC (IQC), outbound QC (OQC), and sampling/AQL, ideally in ISO 9001-aligned environments.

Skills

  • Systems Thinking: Ability to diagnose and evaluate readiness across mechanical, electrical, thermal, and software layers.
  • Scaling: Experience taking systems from prototype to large scale production.
  • Systems Level Robotics: Fluency across mechanical, electrical, and software systems.
  • Comfort with hardware/software debugging tools (oscilloscopes, logs, power monitors, EMI/FCC analyzers) for fault and failure analysis.

Compensation

  • $100k-$150k

Benefits

  • Fleet Health & Reliability
  • 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.

Company info

  • 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.
  • 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.
  • Test & Validate System Design
  • 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.
  • 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.
  • 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.
  • 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.
  • Manufacturing & Scaling Quality Control
  • Incoming & Outbound Quality: Develop incoming quality control (IQC) and outbound quality checks (OQC).
  • Process & Infrastructure: Build test processes, standards, and best practices, evolving them as the team and fleet scale.
  • Serve as an internal evaluator of production and shipping readiness.
  • Build & Supply Chain: Support production scaling and manufacturing technique scale-up.
  • 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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This listing is sourced directly from FieldAI's careers page and normalized into a canonical job model.