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Environmental, Health & Safety Manager

Job in Seattle, King County, Washington, 98127, USA
Listing for: Overland AI
Full Time position
Listed on 2026-01-05
Job specializations:
  • Engineering
    Systems Engineer, Operations Manager
Job Description & How to Apply Below

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 Over Drive autonomy stack enables ground vehicles to navigate and operate off‑road in any terrain without GPS or direct operator control.

Our intuitive Over Watch 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

We are seeking a hands‑on Environmental, Health & Safety (EHS) Specialist to build and scale our EHS program as we develop, manufacture, and field‑test advanced unmanned ground vehicles. This role will own EHS strategy and execution across our headquarters, manufacturing facility, and field‑testing sites. The ideal candidate is pragmatic, collaborative, and comfortable operating in a fast‑moving startup environment; you will establish strong safety fundamentals while enabling rapid growth and safe field operations.

Key Responsibilities General
  • Own and continuously improve the company’s EHS program across office, manufacturing, and field environments
  • Act as a trusted partner to engineering, operations, and field teams to proactively manage risk
  • Ensure compliance with OSHA and Washington State L&I requirements for workplace environments; manage workplace safety programs
  • Lead incident reporting, investigation, and root cause analysis
Manufacturing
  • Develop and enforce safety programs for robot assembly, integration, and testing
  • Own machine safety and lockout/tagout (LOTO) procedures
  • Manage chemical safety programs, including SDS, labeling, storage, and spill response
  • Oversee hazardous waste handling and environmental compliance
  • Manage required safety training and certifications (e.g., LOTO, forklifts, electrical safety)
Field Testing
  • Partner with field operations and vehicle teams to integrate safety into test planning and execution
  • Establish and enforce field safety protocols and PPE requirements
  • Develop emergency response plans for remote or outdoor testing environments
  • Support vehicle, transport, and equipment safety for field deployments
What You’ll Need to Succeed
  • Bachelor’s degree in Occupational Safety, similar degree, or equivalent experience
  • 5+ years of experience in EHS, safety engineering, or a related role supporting manufacturing, hardware development, or field operations
  • Working knowledge of OSHA standards and Washington State L&I requirements
  • Ability to work independently and build programs from the ground up
What Will Set You Apart
  • Experience in robotics, autonomous systems, or advanced hardware startups
  • Relevant certifications (e.g., CSP, ASP, CHST, or equivalent)
  • Experience scaling EHS programs in growing organizations
  • Comfortable working in a manufacturing environment where personal protective equipment (PPE) is required to collaborate with manufacturing teams
  • Willingness to travel to and work at field test sites, including regular trips to our central Washington test sites
  • Strong inter‑personal and written communication skills
  • Ability to obtain and maintain a U.S. DoD security clearance
Location

The preferred location for this position is onsite in Seattle, WA
. Some travel may be expected (

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