AR/VR Robotics UI Engineer

FieldAI; Boston (MA); On-site; USD 120,000 - 180,000; Full time

Job summary

FieldAI, based in Boston, is seeking an experienced 3D/AR/VR Software Engineer to build, integrate, and maintain AR/VR interfaces for humanoid robots. You will design 3D workflows, implement interaction techniques, and ensure reliable, user-facing systems deployed on real robots.

Responsibilities span prototyping, UI integration with robot perception and control, and end-to-end system optimization across headsets and networks.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, HCI, Game Development, Creative Technology, Design, Robotics, Electrical Engineering, or a related field.
• Strong programming skills in C#, C++, or a different relevant language.
• Experience designing, implementing, testing, and maintaining production-quality software.
• Experience working with Unity, Unreal, git, containers, build systems, and continuous-integration workflows.

Responsibilities

• Define and execute the robotics AI research roadmap in alignment with FieldAI’s mission and product goals.
• Design and implement intuitive 3D workflows for supervising, manipulating, and controlling humanoid robots in AR/VR.
• Integrate AR/VR applications with robot perception, planning, manipulation, locomotion, and control systems.
• Deploy and support research prototypes as reliable, maintainable apps on real robots.
• Collaborate with researchers and engineers across perception, planning, control, manipulation, and hardware.

Skills

C#

C++

Unity

Unreal Engine

3D UI/UX

Prototyping

Debugging

Education

Bachelor’s or Master’s degree in CS / HCI / Game Dev / Creative Tech / Design / Robotics or related field

Tools

Git

Unity

Unreal Engine

Containers

Build systems

CI workflows

Job description

FieldAI, based in Boston, is seeking an experienced 3D/AR/VR Software Engineer to build, integrate, and maintain AR/VR interfaces for humanoid robots. You will design 3D workflows, implement interaction techniques, and ensure reliable, user-facing systems deployed on real robots.

Responsibilities span prototyping, UI integration with robot perception and control, and end-to-end system optimization across headsets and networks.