Software Engineer - ML Platform

Overland AI, founded in 2022 and headquartered in Seattle, Washington, is transforming land operations for modern defense. The company leverages over a decade of advanced research in robotics and machine learning, along with a field‑test forward ethos, to deliver combined capabilities for unit commanders. Its OverDrive autonomy stack enables ground vehicles to navigate off‑road in any terrain without GPS or direct operator control, while the OverWatch C2 interface provides precise coordination capabilities. Overland AI is backed by investors such as 8VC and Point 72, and partners with DARPA, the U.S. Army, Marine Corps, and Special Operations Command, holding eight‑figure contracts across the Department of Defense.

Responsibilities

• Design and implement infrastructure to enable training, evaluating, and deploying machine‑learning/deep‑learning models for autonomous vehicles.
• Write software to enable fast curation and creation of high‑quality labels for various robotics tasks using state‑of‑the‑art AI and human feedback.
• Design and implement data‑processing pipelines, dashboards, and visualization tools for model evaluation and dataset insights.
• Design and implement distributed workflows—including data processing, training, and evaluation—both on‑premises and in the cloud.
• Manage on‑prem and cloud infrastructure, including data storage, compute resources, and access controls.
• Leverage CI/CD practices to make the machine‑learning lifecycle efficient and reproducible.
• Collaborate closely with experts in Perception and Behavior Planning.

Qualifications

• Strong programming skills in Python and/or C++, including unit and integration testing.
• Deep understanding of data‑processing pipelines for training ML models.
• Experience with batch processing tools such as Spark, Beam, Ray, etc.
• Experience with data stores and databases such as MinIO, Postgres, Redshift, BigQuery, etc.
• Ability to thrive in a small‑team atmosphere, taking ownership of problems and collaborating across disciplines.
• Ability to obtain and maintain a DoD Security Clearance.
• Preferred: prior industry experience on a software infrastructure or MLOps team.
• Preferred: experience with ROS or other robotics middleware.
• Preferred: contributions to related open‑source software projects.

Benefits

• Competitive salary range of $120 K to $300 K annually.
• Equity compensation.
• Best‑in‑class healthcare, dental, and vision plans.
• Unlimited PTO.
• 401(k) with company match.
• Parental leave.