O

Overland AI

Autonomous off-road ground-vehicle autonomy for defense

Senior Software Engineer - ML Platform

Applied Machine LearningUpdated on Nov 13
Full-timeSeattle, WA, USA

About the Job

Requirements

  • A bachelor's degree in computer science, engineering, or a related discipline and at least five years of relevant experience are required.
  • Strong programming skills in Python, including unit and integration testing, are required.
  • A strong understanding of data-processing pipelines for training machine-learning models is required.
  • Experience with batch-processing tools such as Spark, Beam, or Ray is required.
  • Experience with data stores and databases such as MinIO, PostgreSQL, Redshift, or BigQuery is required.
  • Ability to take ownership of problems and work with colleagues across disciplines in a small-team environment is required.

Responsibilities

  • Design and implement infrastructure for training, evaluating, and deploying machine-learning and deep-learning models for autonomous vehicles.
  • Write software that enables fast curation and creation of high-quality labels for robotics tasks using artificial intelligence and human feedback.
  • Design and implement data-processing pipelines, dashboards, and visualization tools for model evaluation and dataset insights.
  • Design and implement distributed workflows for data processing, training, and evaluation on-premises and in the cloud.
  • Manage on-premises and cloud infrastructure, including data storage, compute resources, and access.
  • Use continuous integration and continuous delivery practices to make the machine-learning lifecycle efficient and reproducible.
  • Collaborate closely with experts in perception and behavior planning.

Desired Qualifications

  • Prior industry experience on a similar software infrastructure or machine-learning operations team is desired.
  • Contributions to a related open-source software project are desired.

About the Company

Overland AI

Autonomous off-road ground-vehicle autonomy for defense

Overland AI focuses on off-road ground-vehicle autonomy for defense and national security. It develops the OverDrive autonomy stack that lets ground vehicles operate autonomously in challenging, contested, and electronically denied terrain. The system integrates with platforms such as Polaris RZR, Textron Ripsaw M5, and General Dynamics S-MET, and includes OverWatch C2, which lets one operator supervise multiple vehicles. The company has demonstrated the technology as a U.S. Army/DIU OT prototype performer and a DARPA RACER Phase II performer for both heavy tracked and lightweight wheeled vehicles. After a $10 million seed round led by Point72 Ventures, Overland AI raised a $32 million Series A in September 2026 led by 8VC to accelerate deployment of off-road autonomy for defense customers. The goal is to provide proven autonomous capabilities for defense applications, helping militaries operate more effectively in difficult terrain.

Company size
51-200
Company stage
Late Stage VC
Total funding
$160.6M
Headquarters
Seattle, WA
Founded
2023

Recently Posted Jobs

Explore more opportunities at Overland AI

See more jobs