---
title: 'Project Engineer - Field Application Engineering at FieldAI'
canonical: 'https://feeny.ai/job/project-engineer-field-application-engineering-fieldai-london-q6k0xv5d0s3p'
type: 'job'
last_seen: '2026-09-10'
---

# Project Engineer - Field Application Engineering at FieldAI

- **Company:** FieldAI
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-09
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.lever.co/field-ai/c08ea314-4146-4dd9-ab5d-21c7c1b63326

## Job description

About Field AI Field AI is at the forefront of robotic embodied AI, transforming industries like construction, security, mining, and manufacturing. Our autonomous robots operate globally, often in harsh environments, delivering critical insights to customers. Whether monitoring construction progress, ensuring safety compliance, or conducting predictive maintenance, Field AI is advancing technology to make a meaningful impact. We’re proud to have a team of experts from organizations like NASA, Google DeepMind, Boston Dynamics, Uber, Cruise, Zoox, Amazon, SpaceX, Tesla, MIT, Caltech, Berkeley, Stanford, CU, and more—united by a shared mission to shape the future through robotics. Learn more at https://fieldai.com.

## About the Role

We are looking for a hands-on Project Engineer to lead and coordinate field deployments of robotic systems from initial planning through execution, on-site support, and post-deployment follow-up. This role is ideal for someone with strong project management and operational execution skills who is comfortable working in fast-paced, real-world field environments. The right candidate will be able to coordinate engineering, operations, logistics, and customer stakeholders while ensuring deployments are delivered on time, with high attention to detail. Experience in robotics, hardware systems, field testing, or startup environments is highly preferred, especially for candidates who have helped deploy complex technology outside of the lab and into real-world customer sites. We are seeking a highly organized and accountable Engineer with 2–4 years of experience in project coordination, field operations, or technical program execution. This role is focused on driving successful deployments through strong project management, logistics coordination, and clear communication across teams. This is an ideal role for someone who enjoys owning projects end-to-end, thrives in dynamic environments, and can balance operational execution with customer interaction.

## What You Will Do

- Own and manage field deployments from planning through execution and completion
- Coordinate cross-functional teams (engineering, operations, and customers) to ensure smooth delivery
- Build and track project plans, timelines, and milestones
- Use Jira (or similar tools) to manage tasks, issues, and workflows
- Drive accountability across stakeholders and ensure deadlines are met
- Coordinate logistics including shipping, equipment readiness, and site setup
- Act as the primary on-site or customer-facing point of contact during deployments
- Identify risks early and proactively resolve or escalate issues
- Document deployment outcomes, issues, and lessons learned
- Continuously improve operational processes and deployment efficiency

Core Skills & Qualifications

- Bachelor’s degree in Engineering, Operations, Business, or a related field
- 2–4 years of experience in project management, field operations, or similar roles
- Strong organizational and multitasking abilities
- Experience using Jira (or similar project management tools)
- Excellent communication skills across technical and non-technical teams
- High level of ownership, accountability, and attention to detail
- Ability to manage multiple projects in fast-paced environments
- Willingness to travel frequently and work on-site as needed

Operational & Logistics Strengths

- Experience managing equipment logistics, shipping, and inventory tracking
- Ability to coordinate deployment schedules, travel, and site readiness
- Strong problem-solving skills in time-sensitive, real-world scenarios
- Comfortable adapting to changing field conditions and priorities

## Preferred Skills

- Exposure to robotics, hardware systems, or field testing environments
- Basic technical understanding of sensors, systems, or data collection workflows
- Experience in customer-facing or field deployment roles

## Key Traits for Success

- Accountability: Takes full ownership and follows through
- Communication: Clear, proactive, and stakeholder-focused
- Execution: Keeps projects moving forward and removes blockers
- Adaptability: Handles changing environments and priorities effectively
- Attention to Detail: Ensures high-quality execution across all phases

## Compensation

The salary range for this role is dependent upon experience. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time.

Field AI Onsite Work Philosophy At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Mission Viejo, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.

We are dedicated to fostering a diverse and inclusive workplace and encouraging applicants from all backgrounds to apply.

## 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. [jobs.lever.co/field-ai](https://jobs.lever.co/field-ai)

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