---
title: 'Senior Software Engineer, Multiagent Simulation at FieldAI'
canonical: 'https://feeny.ai/job/senior-software-engineer-multiagent-simulation-fieldai-boston-bexvrha8ny5f'
type: 'job'
last_seen: '2026-09-10'
---

# Senior Software Engineer, Multiagent Simulation at FieldAI

- **Company:** FieldAI
- **Location:** Boston, MA
- **Compensation:** $125k–$170k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-09
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.lever.co/field-ai/2f3a7e60-d285-4404-8d39-96f6b1d350e8

## 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 is seeking passionate engineers to play a vital role in the development of multi-robot simulation and fleet orchestration. You will work with a focused team in a fast-paced environment to build simulation environments where robots operate, coordinate, and adapt together in realistic scenes, enabling the company to develop and validate fleet orchestration strategies at scale before deployment. The ideal candidate will have a solid understanding of robotics simulation and multiagent fundamentals along with the practical skills to deliver high-quality, maintainable code on a small, focused team.

## What You Will Get To Do

- Architect high-fidelity multi-robot simulation scenes (terrain, sensors, dynamic obstacles) and scale from single-agent tests to fleet scenarios.
- Integrate physics, perception, and comms models so agents behave realistically at fleet scale.
- Implement and evaluate fleet-level task allocation, coordination, and planning inside simulation.
- Build declarative mission tooling to run thousands of orchestration experiments and profile performance across latency, heterogeneity, and environment complexity.
- Calibrate simulation to real-world telemetry with field teams and reduce the sim-to-real gap.
- Build domain randomization, scenario generation, and automated regression/benchmark gates for fleet orchestration releases.
- Design logging, metrics, and visualization so every run yields actionable data and fleet KPIs (throughput, collisions, comms overhead, idle time).
- Maintain reproducible experiment infrastructure with versioned scenes, configs, and results.
- Partner with perception, planning, learning, DevOps, and infrastructure teams to run large-scale simulation and raise standards for fidelity, coverage, and release quality.

## What You Bring

- MS or PhD in Computer Science, Robotics, Aerospace, or a related field (or equivalent industry experience).
- 7+ years hands-on experience building simulation environments for robotics or autonomous systems.
- Proficiency in Python and C++; comfort reading and extending large codebases.
- Working knowledge of robotics simulation engines (e.g., MuJoCo, NVIDIA Isaac Sim, Genesis).
- Experience with multi-robot or multi-agent systems: task allocation, distributed planning, swarm coordination, or fleet management.
- Familiarity with standard robotics middleware.
- Strong problem-solving skills and ability to thrive in fast-paced, interdisciplinary teams.
- Ability to translate research into practical, field-deployable systems.

What Will Set You Apart

- Publications or open-source contributions in multiagent systems, multi-robot planning, or fleet coordination (ICRA, RSS, IROS, AAMAS, CoRL).
- Experience with domain randomization, synthetic data generation, or sim-to-real transfer at [scale.](http://scale.Background)
- Background in distributed systems or cloud-based simulation orchestration.
- Hands-on work with real robot fleets in field environments (e.g., construction, mining, logistics, defense).Contributions to open-source robotics or simulation frameworks.

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

## Other roles at FieldAI

- [Project Engineer - Field Application Engineering](https://feeny.ai/job/project-engineer-field-application-engineering-fieldai-london-q6k0xv5d0s3p) — London, United Kingdom
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- [Field Application Engineer - London, UK](https://feeny.ai/job/field-application-engineer-london-uk-fieldai-london-b415kz93esj8) — London, United Kingdom
- [Robotics Autonomy Engineer-Planning and Control - Federal](https://feeny.ai/job/robotics-autonomy-engineer-planning-and-control-federal-fieldai-irvine-00k3zqwx5qa7) — Irvine, CA
- [Software Integration Engineer - Federal](https://feeny.ai/job/software-integration-engineer-federal-fieldai-irvine-edk1710b212m) — Irvine, CA
- [3D/AR/VR Software Engineer](https://feeny.ai/job/3d-ar-vr-software-engineer-fieldai-boston-v0p9bqjj56pr) — Boston, MA
- [Robotics Autonomy Engineer - Safety](https://feeny.ai/job/robotics-autonomy-engineer-safety-fieldai-irvine-hng0ewn9dtrm) — Irvine, CA
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- [Robotics Autonomy Engineer - Triage](https://feeny.ai/job/robotics-autonomy-engineer-triage-fieldai-irvine-h00v2ts6a9c6) — Irvine, CA
- [Manager, Field Operations - Industrial Sectors](https://feeny.ai/job/manager-field-operations-industrial-sectors-fieldai-irvine-eyafgexbdhpv) — Irvine, CA