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Overland AI · 6 hours ago

Test Engineer

Seattle, WA

Full-time

Onsite

Mid Level

$120K/yr - $160K/yr

Overland AI is a company transforming land operations for modern defense through advanced robotics and machine learning. They are seeking a Test Engineer to design and run structured test campaigns that validate the performance, safety, and reliability of their autonomous vehicle systems.

Artificial Intelligence (AI)Autonomous VehiclesMachine LearningRoboticsSoftware

Responsibilities

Partner with engineering leads to design and execution of test campaigns that support broader system verification and validation efforts across simulation, hardware-in-the-loop, and field environments

Guide engineering teams in building validation test plans that align with system requirements and applicable defense standards

Plan and sequence test campaigns by translating requirements and risks into actionable test activities in collaboration with the technical owners

Own coordination and technical coherence of test execution within defined test campaigns, from requirements review and procedure design through successful execution

Provide technical guidance to engineers and test conductors during test execution. Leveraging domain expertise from technical leads, to ensure tests are run with clear intent and rigor

Serve as the primary point of contact for test requests from systems engineers and developers, working with feature owners to ensure appropriate validation and regression coverage

Ensure test execution produces the data and observability needed to identify performance issues and anomalous behavior, in close partnership with Test Analysts

Ensure test results and metrics are traceable to system requirements, safety considerations, and release criteria, reviewed with relevant engineering stakeholders, and communicated clearly to stakeholders

Define and evolve a test automation strategy, in partnership with the software teams, that supports repeatable testing across software-in-the-loop, hardware-in-the-loop, and full vehicle environments

Support software and vehicle qualification efforts by providing defensible test evidence for release and deployment to defense applications

Qualification

Test campaign designSystem-level thinkingSimulation testingTest automation strategyRobotics knowledgeDefense standards familiarityCommand-line LinuxJudgment in risk balancingFieldwork willingnessCommunication skills

Required

Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Mechanical Engineering, Robotics, or a related field

Experience designing and executing test campaigns for complex hardware–software systems

Strong system-level thinking and comfort reasoning across sensing, planning, control, and vehicle behavior

Ability to translate requirements, risks, and ambiguous system behavior into structured tests

Experience working across simulation, lab, and real-world test environments

Comfort operating in fast-moving development environments with incomplete or evolving requirements

Ability to communicate test intent, results, and risks clearly to technical stakeholders

Working knowledge of autonomy, robotics, or embedded systems (hands-on or adjacent)

Willingness to spend time in the field as needed to support test campaigns

Familiarity with defense, automotive, or aerospace standards and qualification processes (e.g., MIL-STD-882, ISO 26262, SOTIF)

Experience shaping test strategy in early-stage or rapidly evolving systems

Strong judgment in balancing rigor, speed, and operational risk

Preferred

Ability to navigate a large code base and understand autonomy architecture at a high level

Working understanding of command-line Linux

Experience designing tests that directly inform release, safety, and deployment decisions rather than generating coverage for its own sake

Ability to dive into code, autonomy logs (e.g., MCAP files), and databases (e.g., PostgreSQL) as needed to understand behavior, investigate failures, and validate test outcomes

Skill translating noisy or complex test execution into clear findings, follow-ups, and next steps

Experience influencing system design through testability, observability, and verification feedback

Familiarity with safety-critical or defense contexts and how test evidence supports risk-based decisions

Exposure to vehicle networks and diagnostics (CAN, Ethernet, UDS/J1939) and to logging/trace tools

Familiarity with MISRA C/C++, static analysis tools, and code coverage methodologies (incl. branch and MC/DC)

Familiarity with cybersecurity validation for embedded systems (e.g., NIST 800-53, ISO/SAE 21434 test practices)