Embedded Automation Test Engineer

Job Description

We are seeking a versatile Test Engineer to play a critical role in validating robotic platforms and their supporting systems, including embedded compute platforms, camera modules, sensor systems, and supporting AWS cloud applications. This position emphasizes automated testing while also requiring the ability to perform hands-on manual testing in lab environments when needed. You will work closely with hardware and software teams to ensure performance, reliability, and quality across the entire system stack.

Responsibilities

• Design, implement, and maintain automated test cases and frameworks for robotic subsystems, supporting software, and cloud applications.
• Conduct manual testing on hardware and software components when required, including regression and validation.
• Operate and validate devices in a lab environment, performing setup, troubleshooting, and issue reproduction.
• Develop and maintain Python and shell scripts to automate test execution, data collection, and validation workflows.
• Document test results, author professional reports, and track defects with detailed reproduction steps.
• Collaborate with hardware, software, and integration teams to debug issues and drive resolution.
• Enhance test processes, regression coverage, and CI/CD integration to support continuous quality improvements.
• Contribute to test plan design and updates, ensuring evolving features are validated effectively.

Essential Skills

• 3 years of experience in automated and manual testing of complex systems (hardware, software, or cloud-based).
• Strong proficiency in Python; familiarity with shell scripting (Bash or similar).
• Experience working in Linux environments and integrating automation into CI/CD pipelines.
• Ability to write clear, structured test cases and produce professional reports and defect documentation.
• Hands-on experience in lab environments with hardware validation and debugging.
• Strong communication and collaboration skills across multidisciplinary teams.
• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field.

Additional Skills & Qualifications

• Familiarity with pytest, unittest, and regression testing frameworks.
• Experience in validation, defect lifecycle management, and automation frameworks.
• Exposure to AWS or other cloud-based systems is a plus.
• Experience building computers, writing code, or assembling hardware is beneficial.
• Ability to thrive in fast-paced R&D environments with a mix of hardware and cloud systems.