--- title: '3D/AR/VR Software Engineer at FieldAI' canonical: 'https://feeny.ai/job/3d-ar-vr-software-engineer-fieldai-boston-v0p9bqjj56pr' type: 'job' last_seen: '2026-09-07' --- # 3D/AR/VR Software Engineer at FieldAI - **Company:** FieldAI - **Location:** Boston, MA - **Compensation:** $120k–$180k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-09-06 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.lever.co/field-ai/e22d37a0-6247-4e20-8c63-cb2d84056b85 ## Job description 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. FieldAI robots reconstruct and interact with the physical world to unprecedented levels. This asks for an unprecedented user experience. Therefore, we are hiring a 3D/AR/VR Software Engineer in support of our humanoid UI/UX team. In this role, you will implement, integrate, maintain, and support AR/VR applications that enable supervision, manipulation, and locomotion capabilities for humanoid robots. You will help turn new robotic capabilities into reliable, maintainable, user-facing systems that can be deployed, evaluated, and operated on real robots. Your work will span design, prototyping, UI implementation, and robot integration, user-study-based evaluation. You will draw on your expertise on input and interaction design, rendering, to build innovative 3D interfaces for robotics. ## What You Will Get To Do Set Research Vision and Strategy - Define and execute the robotics AI research roadmap in alignment with FieldAI’s mission and product goals. - Identify emerging research directions, tools, and techniques across robotics, embodied AI, and machine learning. - Establish clear technical goals, milestones, and success metrics tied to real-world robot performance. Design and Implement Interactive Workflows in AR/VR - Design and implement intuitive 3D workflows for supervising, manipulating, and controlling humanoid robots in AR/VR. - Build interaction techniques for spatial input, visualization, teleoperation, task specification, and robot feedback. - Prototype, evaluate, and iterate on new interaction concepts through user studies and deployment on real robotic systems. Integrate the UI with the Robot - Integrate AR/VR applications with robot perception, planning, manipulation, locomotion, and control systems. - Build robust interfaces for exchanging commands, state, sensor data, and 3D scene representations between robots and user-facing applications. - Debug and optimize end-to-end system behavior across headsets, networks, compute infrastructure, and robotic hardware. Deploy and Support Systems in the Real World - Turn research prototypes into reliable, maintainable applications that can be deployed and operated on real robots. - Develop tooling, testing, monitoring, and deployment workflows that support repeatable operation across robots and environments. - Diagnose failures in the field and continuously improve system performance, reliability, usability, and robustness. Collaborate Across Disciplines - Work closely with researchers and engineers across perception, planning, control, manipulation, and hardware. - Translate new robotic capabilities into user-facing workflows and identify interface requirements that inform system design. - Contribute to technical design discussions, code reviews, experimentation, and the development of software infrastructure. ## What You Have - Bachelor’s or Master’s degree in Computer Science, Human-Computer Interaction, 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. - Experience working with Meta Quest, Apple, Varjo or comparable headsets - Strong debugging skills across complex, interactive, distributed, and performance-sensitive systems. - Ability to understand prototype code and convert it into maintainable, reliable implementations. - Ability to work effectively in a fast-paced, highly collaborative environment. - Ownership, attention to detail, and a strong focus on reliability and usability for software evaluated by end users. The Extras That Set You Apart - Experience with robots. - Experience integrating software with physical systems, sensors, or real-time processes. - Experience with teleoperation systems or human-in-the-loop industrial user interfaces. - Experience with safety-critical user interfaces or workstations (aircraft cockpits, driver/operator cabs) - Experience designing and administrating user studies for ergonomics and human factors. - Experience with gloves or other forms of haptics for AR/VR applications. - ## Experience integrating systems with ATAK Why Join Field AI? 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. Be Part of the Next Robotics Revolution 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. ## Equal Opportunity 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. ## About FieldAI ## Company Overview - **One-liner**: FieldAI is building the first risk-aware, physics-first foundation model (the Field Foundation Model) that makes robots autonomous in complex, unstructured, and safety-critical real-world environments. - **Entity Type**: Private (latest funding: Venture Round / Corporate Round; total funding ~$497M) - **Headquarters**: Irvine, California, United States (with an office in Mission Viejo) - **Founded**: 2023 (originally known as "AI for Humanity") - **Founders**: Dr. Ali Agha (CEO) – former NASA JPL Principal Investigator and DARPA challenge winner; Dr. Shayegan Omidshafiei (President & Chief Scientific Officer) – former DeepMind Research Scientist ## Core Business - **Primary industry**: Robotics Engineering / Artificial Intelligence (Embodied AI) - **Target customers**: B2B, Enterprise, Government / Federal agencies, Commercial field operators (construction, industrial, urban operations, mission-critical) - **Mission / purpose**: "Deploy autonomous robots at scale in any unstructured environment" without reliance on GPS, maps, or pre-trained routes. ## Products & Services - **[Field Foundation Model (FFM)](https://www.fieldai.com/careers)**: An AI platform that acts as the "general-purpose brain" for robots. It combines data-driven learning with physics-based methods, assesses uncertainty, establishes risk, and adapts autonomously in field conditions. Works across any robot type and continuously improves through a virtuous data flywheel. ## Market Standing - **Valuation**: Not publicly disclosed - **Key Metric (Total Funding)**: ~$497M across multiple rounds (Seed: $91M, Venture rounds, Corporate round led by Hyundai Motor Group, Series A: $980K led by Temasek Holdings and Prysm Capital) [[linkedin.com](https://www.linkedin.com/company/fieldai)] [[cbinsights.com](https://www.cbinsights.com/company/field-ai)] - **Notable Investors / Partners**: Hyundai Motor Group (corporate round lead), Temasek Holdings, Prysm Capital, plus other visionary institutions. - **Growth Signals**: - Headcount of 217 employees (+227.8% YoY) [[linkedin.com](https://www.linkedin.com/company/fieldai)] - LinkedIn followers grew +580.4% in the last year (51,728 total) [[linkedin.com](https://www.linkedin.com/company/fieldai)] - Technology deployed globally for a decade – from 900 feet underground to advanced commercial, federal, and mission-critical operations [[fieldai.com/careers](https://www.fieldai.com/careers)] - Won segments of the DARPA Subterranean Challenge (Urban phase) [[fieldai.com/team](https://www.fieldai.com/team)] ## Competitive Advantages - **First risk-aware, physics-first foundation model** – unlike pure data-driven or transformer-only approaches. - **Field-proven reliability** – systems work without GPS, maps, or pre-programmed routes, and dynamically adapt to uncertainty. - **Virtuous data flywheel** – each deployment increases model reliability across the entire fleet. - **Exceptional team** – drawn from DeepMind, NASA JPL, Boston Dynamics, Nvidia, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX [[fieldai.com/team](https://www.fieldai.com/team)] - **Strong IP & DARPA pedigree** – led by veterans who have shaped the field of autonomous robotics for nearly two decades. ## Strategic Focus - **Scale deployment** of the Field Foundation Model across commercial, industrial, and federal sectors. - **Expand federal division** (FieldAI Federal) led by former DARPA PM and Toyota Research Institute exec Dr. Eric Krotkov [[fieldai.com/team](https://www.fieldai.com/team)] - **Hire top-tier talent** in embodied AI, software engineering, robotics hardware, and field operations to accelerate product development and real-world impact [[fieldai.com/careers](https://www.fieldai.com/careers)] ## Why Work Here - **Impact**: Directly shape how intelligent systems operate in the real world – from underground mines to urban search-and-rescue. - **Culture**: "Creativity, resilience, and bold thinking" – a supportive environment that encourages pushing beyond conventional methods [[fieldai.com/careers](https://www.fieldai.com/careers)]. - **Team**: Work alongside world-class researchers and engineers from DeepMind, NASA JPL, Boston Dynamics, and leading autonomy companies. - **Resources**: Backed by over $100M in funding with strong institutional support – rapid execution and fast-paced growth. - **Work model**: Likely office-centric given the hardware/robotics focus; headquarters in Irvine, CA, with a distributed presence across 9 countries (US, India, Singapore, Japan, Spain, etc.) [[linkedin.com](https://www.linkedin.com/company/fieldai)]. - **Perks / recognition**: Rated 4.5/5 on employer reviews (16 reviews), with top marks for Culture (4.3) and Career (4.4) [[linkedin.com](https://www.linkedin.com/company/fieldai)]. ## Sources 1. [fieldai.com/careers](https://www.fieldai.com/careers) 2. [linkedin.com/company/fieldai](https://www.linkedin.com/company/fieldai) 3. [fieldai.com/team](https://www.fieldai.com/team) 4. [cbinsights.com/company/field-ai](https://www.cbinsights.com/company/field-ai) 5. 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