Mechanical Engineer, Robotics Hardware Intern

FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use.

Mechanical System Design

• Structures: Design and model mechanical structures including external enclosures, internal compute frames, and load-bearing chassis.

• Mounts: Design and validate robust sensor mounts, payload attachment points, and mechanical interfaces.

• Ingress Protection: Implement IP-rated solutions with gaskets, seals, membranes, and coatings to meet water/dust ingress standards.

• Thermal Management: Incorporate thermal mitigation strategies such as fans, heat sinks, conductive paths, and airflow guides.

• Mass & Volume Budgets: Ensure adherence to payload constraints, including tight volumetric envelopes and weight limitations.

Mechanical System Implementation

• CAD & Simulation: Build detailed SolidWorks CAD assemblies. Run FEA and thermal simulations to validate strength, durability, and heat dissipation.

• Material & Component Selection: Choose materials and components to meet mass, strength, thermal, and manufacturability constraints. Design for Production: Apply DFM, DFA, DFS principles throughout the design lifecycle.

• System Testing: Conduct mechanical load testing (shock, vibration), thermal validation, ingress tests, and sensor alignment assessments.

• Prototyping: Rapidly iterate on prototypes for fit checks, thermal evaluations, and integration trials.

• Documentation & Budgets: Generate mechanical drawings, GD&T annotations, BOMs, and assembly instructions for fabrication and QA. Manage weight, volume, and thermal budgets.

Mechanical System Production & Servicing

• Build: Work with vendors and contract manufacturers to procure mechanical hardware. Develop QA checks for incoming units. Support payload integration and scaling.

• Debug: Investigate mechanical failures, deformation, and environmental weaknesses during testing and deployments.

• Monitor: Develop protocols for monitoring the system mechanical health and loads.

• Education: Current student pursuing a B.S., M.S., or Ph.D. in Robotics, Mechanical Engineering, Mechatronics, or related field.

• CAD Expertise: Proficient with SolidWorks or equivalent mechanical CAD platforms.

• Thermal & Structural Analysis: Familiarity with FEA and thermal modeling tools.

• Field-Ready Design: Experience designing hardware that survives vibration, shock, thermal cycling, and environmental exposure.

• Manufacturing Knowledge: Experience designing for CNC, sheet metal, additive manufacturing, and assembly workflows.

• Mechanical Systems Integration: Experience working across teams to integrate mechanical systems with compute, sensors, and power electronics.

• Lab Skills: Comfort with mechanical debugging, thermal test setups, vibration tables, and ingress testing.

• Cross Functional Robotic Skills: Ability to contribute electrical, sensing, and embedded computing work to deliver robust integrated systems.

• Scaling: Experience taking systems from prototype to large scale production.

• Field Environments: Experience developing systems for harsh field environments.

• Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots.

• Systems Level Robotics: Fluency across mechanical, electrical, and software systems.

• Reliability Engineering: Experience designing to meet IP ratings, MIL-STD, or equivalent ruggedness standards.

FieldAI is tackling one of robotics’ hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most.

You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX.

Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally.

Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability.

We are headquartered in Irvine, Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world.

FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.