F

Field AI

Builds AI that guides robots through changing sites

Mechanical Engineer - Autonomous Vehicles, Federal

Design EngineeringConfirmed live in the last 24 hours
Full-timeIrvine, CA, USA$100k - $240k /yr

About the Job

Requirements

  • A B.S., M.S., or Ph.D. in Mechanical Engineering, Mechatronics, or a related field.
  • Proficiency with SolidWorks or equivalent mechanical computer-aided design platforms.
  • Familiarity with finite element analysis and thermal modeling tools.
  • Experience designing hardware to withstand vibration, shock, thermal cycling, and environmental exposure.
  • Experience designing for computer numerical control machining, sheet metal, additive manufacturing, and assembly workflows.
  • Experience integrating mechanical systems with compute, sensors, and power electronics across teams.
  • Comfort with mechanical debugging, thermal test setups, vibration tables, and ingress testing.
  • Ability to contribute electrical, sensing, and embedded computing work to deliver integrated systems.
  • U.S. Person eligibility is required for the Federal Team; eligible statuses include U.S. citizens, U.S. nationals, lawful permanent residents, refugees, and asylees.

Responsibilities

  • Design and model mechanical structures, including external enclosures, internal compute frames, and load-bearing chassis.
  • Design and validate sensor mounts, payload attachment points, and mechanical interfaces.
  • Implement ingress-protection solutions with gaskets, seals, membranes, and coatings to meet water and dust ingress standards.
  • Incorporate thermal-mitigation strategies such as fans, heat sinks, conductive paths, and airflow guides.
  • Ensure designs adhere to payload constraints, including volumetric envelopes and weight limitations.
  • Build detailed SolidWorks computer-aided design assemblies and run finite element analysis and thermal simulations to validate strength, durability, and heat dissipation.
  • Select materials and components to meet mass, strength, thermal, and manufacturability constraints.
  • Apply design-for-manufacturing, design-for-assembly, and design-for-service principles throughout the design lifecycle.
  • Conduct mechanical load testing, including shock and vibration tests, thermal validation, ingress tests, and sensor alignment assessments.
  • Iterate on prototypes for fit checks, thermal evaluations, and integration trials.
  • Generate mechanical drawings, geometric dimensioning and tolerancing annotations, bills of materials, and assembly instructions for fabrication and quality assurance; manage weight, volume, and thermal budgets.
  • Work with vendors and contract manufacturers to procure mechanical hardware, develop incoming-unit quality assurance checks, support payload integration, and scale production.
  • Investigate mechanical failures, deformation, and environmental weaknesses during testing and deployments.
  • Develop protocols for monitoring mechanical health and loads.

Desired Qualifications

  • Experience taking systems from prototype to large-scale production.
  • Experience developing systems for harsh field environments.
  • Experience working on robotics deployed in real-world settings, such as autonomous vehicles, drones, or ruggedized robots.
  • Fluency across mechanical, electrical, and software systems.
  • Experience designing to meet ingress protection ratings, military standards, or equivalent ruggedness standards.

About the Company

Field AI

Builds AI that guides robots through changing sites

Field AI builds autonomy software that lets mobile robots inspect and work in changing environments, including construction sites and industrial facilities. Its Field Foundation Models act as a shared control system for different machines, bringing perception, navigation and task planning together on the robot. Cameras and other sensors feed the system, while the platform sends site data into customers' project tools to track progress, record conditions and identify deviations from plans. The company sells commercial autonomy solutions and deployment services, integrating its software with robot manufacturers' equipment. Field AI was founded in 2023 and is headquartered in Irvine, California.

Company size
201-500
Company stage
Late Stage VC
Total funding
$1.1B
Headquarters
Irvine, CA
Founded
2023

Recently Posted Jobs

Explore more opportunities at Field AI

See more jobs