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EngineeringOn-site

Senior Software Engineer, Multiagent Simulation

FieldAI · On-site

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Last seen by MeritLog September 8, 2026Source: LeverSource version: lever-postings-v1

MeritLog read this listing from FieldAI's Lever job board and last checked it on September 8, 2026.

Source: the employer's Lever job board. Open the original listing for current details.

Job details

Work model
On-site
Salary
$125,000 - $170,000
Location
Boston, MA
Occupation
Software Developers(O*NET 15-1252.00)
Company website
www.fieldai.com

Hiring context

How this role compares at FieldAI

FieldAI has 130 live roles in MeritLog’s catalog across 7 job families, and 99 of them are in engineering. 95 of those listings publish a pay range, a disclosure rate of 73%.

This role's posted range of $125,000 - $170,000 sits above 22% of the 78 other FieldAI roles quoted over the same currency and period.

FieldAI concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

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.

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