AIM
Lead Validation Engineer
Seattle
Sponsorship not specifiedDetected 117 days ago
CI/CDRoboticsLeadership
About the role
- Our machines operate in dynamic, unpredictable environments where performance, reliability, and safety must hold under real-world conditions - not just in simulation.
- Why this role exists Autonomous systems fail at system boundaries - in the interactions between perception, planning, controls, hardware, and real-world environments.
Responsibilities
- Build mechanisms that scale, not manual processes
- Use data and real-world evidence to drive decisions
- Build the validation system that scales with the company
- Operational Design Domain (ODD)
- Design validation scenarios that reflect real-world complexity
Requirements
- Bachelor's degree in Mechanical, Electrical, Software, Systems, Robotics, or related field (or equivalent experience)
- Experience in system-level validation, test engineering, or reliability engineering
- Experience validating complex systems integrating hardware, software, and autonomy
- Hands-on experience debugging system-level failures
Nice to have
- Experience in robotics, autonomy, or safety-critical systems
- Experience with functional safety validation
- Experience scaling validation from prototype to production
- Experience with real-world field deployments
- You identify failure modes before they reach the field
- You translate real-world behavior into testable systems
- You balance rigor with speed in ambiguous environments
- You turn validation into a competitive advantage
Skills
- automated test frameworks
- simulation and replay systems
- data capture and labeling pipelines
- validation dashboards and reporting systems
- Integrate validation into CI/CD and development workflows
- Enable self-service validation across AI, software, and hardware teams
- feature releases
- system releases
- customer deployments
- Provide validation input into ORRs and release decisions
- Ensure systems meet performance, reliability, and safety thresholds
- coverage across ODD conditions
Company info
- AIM builds autonomy for the real world - robots that move mountains. Our systems integrate software, electronics, mechanical systems, perception, and mission-critical infrastructure into rugged, safety-critical machines operating on construction and mining sites globally.
- Our machines operate in dynamic, unpredictable environments where performance, reliability, and safety must hold under real-world conditions - not just in simulation. Delivering autonomy at scale requires not only building systems, but proving they work consistently, safely, and reliably in the field.
- Validation is how we make that real.
- About You
- Together
- We're building autonomous systems that must perform under real-world conditions - and we validate them by:
- Ensuring end-to-end system behavior across electrical, mechanical, software, and AI subsystems
- Validating performance under harsh environments: dust, vibration, temperature extremes, and dynamic terrain
- AIM builds autonomy for the real world - robots that move mountains.
- Our systems integrate software, electronics, mechanical systems, perception, and mission-critical infrastructure into rugged, safety-critical machines operating on construction and mining sites globally.
- Delivering autonomy at scale requires not only building systems, but proving they work consistently, safely, and reliably in the field.
- You are a systems-oriented engineer who cares deeply about whether things actually work - not just whether they were designed to work.
- Think in terms of system behavior, not isolated components
- Have strong judgment in ambiguous situations with incomplete information
- Hold a high bar for reliability, performance, and safety
- You are equally comfortable:
- Designing validation strategies and frameworks
- Building infrastructure and tooling
- Debugging failures across hardware, software, and AI systems
- Working in the field to understand real-world conditions
- You take ownership of outcomes - ensuring validation directly improves system performance, safety, and reliability.
- Ensuring reliability across long-duration operation in real jobsites
- Testing complex interactions across autonomy, controls, perception, and hardware systems
- Capturing real-world edge cases and converting them into repeatable validation scenarios
- We move fast, test rigorously, and build validation systems that scale with the fleet.
- Why this role exists
- Autonomous systems fail at system boundaries - in the interactions between perception, planning, controls, hardware, and real-world environments.
This listing is sourced directly from AIM's careers page and normalized into a canonical job model.