Infrastructure Engineer at Overland AI

Seattle, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Feb, 26

Salary

225000.0

Posted On

18 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Infrastructure Engineering, DevOps, SRE, Systems Engineering, AWS, Kubernetes, CI/CD, Linux Administration, Networking, Infrastructure-As-Code, Automation, Observability, Python, Go, Rust, GitOps

Industry

Defense and Space Manufacturing

Description

About Overland AI Location: Seattle, WA (Hybrid — 3 days onsite) Travel: Occasional in-state travel; 1–2 weeks out-of-state per year 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 looking for an experienced Infrastructure Engineer to help design, build, and operate the systems that power our AI model training, experiment management, and robotic deployments. This role spans on-premise environments, cloud infrastructure, networking, and automation. You’ll work hands-on with servers, storage, firewalls, wireless equipment, and high-performance compute resources—while also developing scalable tooling that improves reliability, observability, and developer velocity. The ideal candidate has 5+ years of experience in infrastructure engineering, DevOps, SRE, or systems engineering, with deep knowledge of on-prem environments, AWS deployments at scale, and modern infrastructure-as-code and automation practices. What You'll Do Build, operate, and evolve on-premise and cloud infrastructure supporting AI/ML development and robotics programs Deploy and manage AWS environments including IAM, EC2, VPCs, and S3 Install, configure, and troubleshoot physical servers, networking equipment, and storage systems Implement and maintain infrastructure-as-code (Terraform, Ansible, Puppet, Chef, etc.) Support on-prem Kubernetes clusters (clusteradm, Kops) and GitOps workflows (ArgoCD, Flux, Spinnaker) Develop CI/CD pipelines using GitLab or GitHub Actions Build custom automation and internal infrastructure tooling Manage observability stacks (Prometheus/Grafana, ELK, Datadog, etc.) Partner closely with engineering teams to ensure reliability, security, and efficient scaling Document systems, processes, and runbooks to support local and remote teams Required Qualifications 5+ years in infrastructure engineering, DevOps, SRE, or systems engineering Experience with AWS orchestration and deployments at scale Experience with on-prem hardware environments (VMWare, Proxmox, or equivalent) Hands-on experience building and troubleshooting physical servers and networks Strong Linux administration skills Deep understanding of networking: firewalls, L3 switches, routing, VPNs, WAN/wireless systems Proficiency with infrastructure-as-code tooling (Terraform, Ansible, Puppet, Chef, etc.) Experience with Kubernetes and GitOps systems CI/CD experience with GitLab, GitHub Actions, or similar platforms Ability to program in Python, Go, Rust, or a similar language (in addition to shell) Experience with observability and monitoring stacks Excellent documentation, communication, and collaboration skills Nice to Have Familiarity with experiment tracking, ML infrastructure, or data visualization tooling Experience integrating hardware or embedded systems Experience deploying or supporting wireless/WAN infrastructure in field, test, or event environments Familiarity with ML/AI infrastructure, high-performance compute clusters, or robotics-focused environments Other Requirements Ability to travel in-state, including occasional long days during deployments or testing Ability to travel out-of-state for ~1–2 weeks per year Ability to work onsite in our Seattle office at least 3 days per week Benefits Competitive salary: $130K – $225K annually Equity compensation Best-in-class healthcare, dental, and vision plans Unlimited PTO 401(k) with company match Parental leave

Responsibilities

The Infrastructure Engineer will design, build, and operate systems that support AI model training and robotic deployments. This includes managing both on-premise and cloud infrastructure while developing scalable tooling for improved reliability and developer velocity.