Infrastructure Software Engineer at Overland AI

Seattle, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Feb, 26

Salary

170000.0

Posted On

23 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Infrastructure Tooling, Full-Stack Development, Web Frameworks, Microservices, Monolithic Applications, AWS, Linux Systems, Networking Fundamentals, Containerized Environments, CI/CD, Infrastructure-As-Code, Troubleshooting, Communication, Documentation

Industry

Defense and Space Manufacturing

Description

Infrastructure Software Engineer Location: Seattle, WA (Hybrid: 3 days onsite) Travel: In-state travel + 1–2 weeks out-of-state per year Clearance: Ability to obtain and maintain a DoD Security Clearance About Overland AI Founded in 2022 and headquartered in Seattle, Washington, Overland AI is transforming land operations for modern defense. The company leverages over a decade of advanced research in robotics and machine learning, as well as a field-test forward ethos, to deliver combined capabilities for unit commanders. Our OverDrive autonomy stack enables ground vehicles to navigate and operate off-road in any terrain without GPS or direct operator control. Our intuitive OverWatch C2 interface provides commanders with precise coordination capabilities essential for mission success. Overland AI has secured funding from prominent defense tech investors, including 8VC and Point 72, and built trusted partnerships with DARPA, the U.S. Army, Marine Corps, and Special Operations Command. Backed by eight-figure contracts across the Department of Defense, we are strengthening national security by iterating closely with end users engaged in tactical operations. Role Summary Overland AI is building off-road autonomy, and our software infrastructure is the backbone that enables our teams to move fast, experiment safely, and ship mission-critical systems. As a Software Infrastructure Engineer, you’ll design, build, and maintain the internal software systems that power our AI/ML workflows, connect our robots, and streamline developer operations across the company. You will own core services used daily by researchers, roboticists, and field teams — including internal APIs, experiment tooling, data systems, and compute orchestration. This role is ideal for an engineer who loves building robust systems, improving developer velocity, and shaping the foundation that our autonomy stack relies on. You’ll collaborate closely with the infrastructure team, ML teams, and robotics teams to build reliable, observable, well-structured systems in a hybrid cloud/on-prem environment. What You'll Do Design, build, and maintain internal services and tooling used across AI/ML, autonomy, and field operations teams Develop both backend services and front-end interfaces (web apps, dashboards, APIs) that enable experimentation, data access, and compute management Build and support microservices as well as monolithic systems, including migrating legacy systems to modern service-oriented architectures Improve developer velocity and system reliability through better tooling, automation, observability, and CI/CD Support hybrid deployments across AWS, on-prem compute, and on-robot environments Troubleshoot across software, infrastructure, and networking layers to keep internal systems reliable and performant Collaborate with ML engineers, roboticists, and internal stakeholders to define requirements and deliver high-impact tooling Maintain excellent documentation and support distributed teams (local + remote + field) Required Qualifications 5+ years of experience in software engineering, infrastructure tooling, or full-stack development Proficiency with modern web frameworks and the ability to build both backend and front-end systems Experience building and maintaining both microservices and monolithic applications Strong working knowledge of AWS, Linux systems, and networking fundamentals Proficiency with containerized environments (Docker) and CI/CD (GitLab, GitHub Actions, or equivalent) Experience with infrastructure-as-code (Terraform, Ansible, etc.) Demonstrated ability to support multiple internal or customer-facing applications simultaneously Excellent troubleshooting skills across software, networking, and infrastructure layers Strong communication and documentation skills Nice to Have Experience with Kubernetes or GitOps tools (ArgoCD, Flux, Spinnaker) Familiarity with ML infrastructure, experiment tracking, or data visualization tools Experience with hardware integration or embedded system interfaces Prior experience supporting hybrid or on-prem deployments Experience migrating a monolith to a microservices-based architecture Additional Requirements Ability to travel in-state for testing, events, and onsite support Ability to travel out-of-state 1–2 weeks per year for demos or field exercises Ability to work onsite in the Seattle office at least 3 days per week Ability to obtain and maintain a DoD Security Clearance Benefits Competitive salary: $130K – $170K annually Equity compensation Best-in-class healthcare, dental, and vision plans Unlimited PTO 401(k) with company match Parental leave

Responsibilities

You will design, build, and maintain internal software systems that power AI/ML workflows and streamline developer operations. This role involves collaborating with various teams to build reliable systems in a hybrid cloud/on-prem environment.