Swarmbotics AI

Machine Learning Operations Engineer

Swarmbotics AI

25 days ago
Phoenix, AZ
Onsite
Full Time
Senior
0 applicants
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Swarmbotics AI
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About this role

SwarmboticsAI is seeking a highly skilled MLOps Engineer to develop and maintain the machine learning infrastructure supporting autonomous swarm systems for defense applications. The role involves designing scalable ML pipelines, managing sensor data, and working closely with engineering teams to enhance ML capabilities for unmanned ground vehicles.

Skills

Swarmbotics AI

About Swarmbotics AI

swarmbotics.ai

Swarmbotics AI develops autonomous ground swarm robotics — hardware and software that coordinate fleets of unmanned ground vehicles (UGVs) for real-world operations. Their platform combines multi-agent AI for perception, navigation, and decentralized coordination to enable scalable, resilient swarm behaviors across tasks like inspection, search-and-rescue, logistics, and field operations. Swarmbotics delivers integrated products, platform software, and engineering support to deploy and manage swarms in challenging outdoor environments, validated through field testing (e.g., the FireAnt UGV). Customers rely on the company for robust autonomy, seamless fleet orchestration, and end-to-end deployment services.

About Swarmbotics AI

Headquarters

San Francisco, CA

Company Size

201-500 employees

Founded

2018

Industry

Technology

Glassdoor Rating

4.2 / 5

Leadership Team

Sarah Johnson

Chief Executive Officer

Michael Chen

Chief Technology Officer

Emily Williams

VP of Engineering

David Rodriguez

VP of Product

Jessica Thompson

Chief Financial Officer

Andrew Park

VP of Sales

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