Carnegie Robotics1mo ago

Test and Validation Engineer

US·Pittsburghmid

QA & TestingValidation Engineer

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Quick Summary

Key Responsibilities

Author comprehensive test plans that define the scope, methodology, and success criteria for off-road autonomous systems.

Requirements Summary

Author comprehensive test plans that define the scope, methodology, and success criteria for off-road autonomous systems. Infrastructure Development: Design and develop physical test benche

Technical Tools

QA & TestingValidation Engineer

Carnegie Robotics is a leader in designing and producing automated systems for use in a wide variety of commercial and government applications. We’re seeking a highly skilled Validation Engineer with the technical rigor and interpersonal skills to lead verification and validation (V&V) efforts for cutting-edge autonomous systems. In this role, you will be a defender of system quality, ensuring that our software, electrical, and mechanical components integrate seamlessly to meet customer requirements in challenging off-road environments. The ideal candidate will be able to reliably take strategic direction, provide technical leadership in testing methodologies, and interact professionally with teammates, customers, and potential customers.

Responsibilities

~1 min read

→Test Strategy & Planning: Author comprehensive test plans that define the scope, methodology, and success criteria for off-road autonomous systems.
→Infrastructure Development: Design and develop physical test benches and automated testers to streamline validation and support hardware-in-the-loop (HIL) testing.
→Virtual Validation: Program and execute automated tests within simulation environments (e.g., CARLA, or proprietary sims) to validate software performance before field deployment
→Hardware Instrumentation: Physically instrument autonomous vehicles with high-precision sensors and data acquisition (DAQ) equipment to prepare for field testing.
→Analysis & Custom Tooling: Develop and utilize custom analysis tools (Python/C++) to parse datasets, identify anomalies, and troubleshoot complex system issues found during all phases of development.
→Reporting & Risk Management: Leverage analyzed field data and technical evidence to author formal reports that clearly articulate program risks and safety posture.
→Collaboration: Work side-by-side with project, hardware, and software teams to ensure all deliverables meet high-quality standards and that requirements are fully verified.

Requirements

~1 min read

Technical Writing: Excellent communication skills with a focus on writing reproducible test plans and formal validation reports.
Analysis & Programming: Proficiency of at least one programming language (e.g., Python, C++) for data analysis and tool development.
Instrumentation: Experience with data acquisition systems and vehicle sensors.
Engineering Toolset: familiarity with modern engineering and management tools:
- Software configuration management (e.g., Git)
- CAD packages (SolidWorks, Fusion 360, etc.)
- Project management software (JIRA, Costpoint)
- Microsoft Office Suite, Google Suite
Organizational Skills: Strong ability to coordinate disparate fields of study to identify and mitigate system-level risks.

Autonomous Systems: Previous experience with autonomous vehicles or robotics.
Automation: Experience building automated test equipment (ATE) or HIL test environments.
Simulation: Experience with robotics simulation environments and automated regression testing.
Regulatory Knowledge: Familiarity with USG Systems Engineering Processes, Military Standards (e.g., MIL-STD-882E).
Systems Thinking: Ability to translate complex technical failures into documented programmatic risks.