FieldAI

FieldAI

Manufacturing Engineer, Robotics Hardware

Irvine, CA

Sponsorship not specified$100k-$150kDetected 2 days ago
NLPProduct ManagementProcess ImprovementGD&TSystems EngineeringRoboticsMechanical DesignElectrical EngineeringHardware DesignProblem SolvingTolerance AnalysisActuatorsLean Manufacturing

About the role

  • Manufacturing Engineer, Robotics Hardware The Manufacturing Engineer will be responsible for designing, implementing, and continuously improving assembly and manufacturing processes for Field AI products.
  • The ideal candidate is highly hands-on, thrives in fast-paced hardware development environments, and has experience bringing complex electromechanical products from prototype through production.

Compensation

  • $100k-$150k

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.
  • Manufacturing Engineer, Robotics Hardware
  • The Manufacturing Engineer will be responsible for designing, implementing, and continuously improving assembly and manufacturing processes for Field AI products. This individual will serve as the bridge between Engineering and Manufacturing, ensuring products are designed for manufacturability, assembly, testability, and long-term scalability.
  • The ideal candidate is highly hands-on, thrives in fast-paced hardware development environments, and has experience bringing complex electromechanical products from prototype through production. This role will play a critical part in improving product yields, reducing assembly complexity, establishing quality standards, and developing functional test strategies that ensure reliable field performance.
  • Manufacturing Process Ownership
  • Design for Manufacturing (DFM) & Design for Assembly (DFA)
  • Yield Improvement & Production Support
  • Quality & Test Development
  • Tooling, Fixtures & Automation
  • 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.
  • The Manufacturing Engineer will be responsible for designing, implementing, and continuously improving assembly and manufacturing processes for Field AI products.
  • This individual will serve as the bridge between Engineering and Manufacturing, ensuring products are designed for manufacturability, assembly, testability, and long-term scalability.
  • This role will play a critical part in improving product yields, reducing assembly complexity, establishing quality standards, and developing functional test strategies that ensure reliable field performance.
  • What You Will Get To Do
  • Own the development, implementation, and continuous improvement of assembly processes for robotic systems, payloads, and subassemblies.
  • Create and maintain manufacturing work instructions, assembly procedures, process flows, and build documentation.
  • Design assembly workflows that optimize throughput, quality, ergonomics, and repeatability.
  • Lead manufacturing readiness activities for prototype, pilot, and production builds.
  • Support contract manufacturers and internal production teams with process development and troubleshooting.
  • Partner closely with Mechanical, Electrical, and Systems Engineering teams during product development.
  • Drive DFM and DFA reviews throughout the product lifecycle to reduce manufacturing complexity, cost, and assembly time.
  • Identify opportunities to simplify assemblies, reduce part count, improve tolerance stack-ups, and increase manufacturability.
  • Provide feedback on component selection, fabrication methods, and assembly approaches to improve product robustness and scalability.
  • Establish manufacturing KPIs and yield tracking systems.
  • Analyze production data to identify root causes of defects, failures, and inefficiencies.
  • Lead failure analysis and corrective action (FACA) initiatives to improve process capability and product quality.
  • Drive continuous improvement projects focused on yield, cycle time, labor efficiency, and cost reduction.
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This listing is sourced directly from FieldAI's careers page and normalized into a canonical job model.