Machine Learning Operations Engineer
Swarmbotics AI
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
About Swarmbotics AI
swarmbotics.aiSwarmbotics 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
Unlock Company Insights
View leadership team, funding history,
and employee contacts for Swarmbotics AI.
Salary
$60k – $120k
per year
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