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Overland AI

Autonomous off-road ground-vehicle autonomy for defense

Software Systems Safety Engineer - Software

QA & TestingUpdated on Nov 13
Full-timeSeattle, WA, USAIn-person

About the Job

Requirements

  • A bachelor's degree in computer science, software engineering, computer engineering, or a related discipline.
  • A track record of independently performing software safety analysis under MIL-STD-882E/JSSSEH or an equivalent framework, such as DO-178C, ISO 26262 Part 6, or IEC 61508-3.
  • Ability to read C++ or Python and understand software architecture well enough to analyze design and code for safety.
  • Experience managing requirements with tools such as Jama, DOORS, or Polarion, and issue tracking with JIRA.
  • Experience supporting and guiding teams through unit testing, software integration testing, and embedded software testing.
  • Sound, independent engineering judgment on risk and the ability to explain it to software engineers and external reviewers.

Responsibilities

  • Identify safety-significant software functions and assign software control categories and criticality per MIL-STD-882E and the Joint Software Systems Safety Engineering Handbook (JSSSEH).
  • Plan and execute level-of-rigor tasks, including safety analysis of software requirements, architecture, design, and code.
  • Analyze autonomy software for hazardous behaviors, including perception errors, degraded sensors, timing and latency, and machine learning components.
  • Derive software safety requirements and trace them to design, code, and verification.
  • Partner with software engineers on safety-critical design, such as fault detection, fail-safes, watchdogs, and safe-stop behavior.
  • Define safety-specific software testing across simulation, software-in-the-loop, hardware-in-the-loop, and field testing, and evaluate the results.
  • Assess software changes and releases for safety impact before they reach the field.
  • Triage software bugs for safety impact on the system, set their priority, and work with software teams to drive safety-relevant issues to closure.
  • Own the software safety content of the safety case and Safety Assessment Report, and represent it in ATEC and customer reviews.

Desired Qualifications

  • Experience with autonomous systems, robotics, or ROS/ROS 2.
  • Familiarity with safety of machine learning and autonomy, including UL 4600, ISO 21448/SOTIF, or ISO/PAS 8800.
  • Experience supporting ATEC or other DoD software safety reviews.
  • Experience with static analysis, code coverage, or software-in-the-loop/hardware-in-the-loop test tooling.
  • Direct experience in the design and development of safety-critical software, autonomous vehicles, or advanced ADAS applications.
  • Software or safety certifications such as ASPICE or equivalent.

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

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