Embedded Python Engineer

Job Title: Test Engineer – Automated & Manual

Location: Boston, MA

Employment Type: Full-Time / Onsite

Position Overview:

We are looking for a versatile and detail-oriented test engineer to validate robotic platforms and their supporting systems, including embedded compute modules, camera systems, sensors, and AWS cloud applications. This role has a strong emphasis on automated testing while also requiring hands-on manual testing in lab environments.

You will collaborate with cross-functional hardware and software teams to ensure high performance, reliability, and quality across the full system stack.

Key Responsibilities

Automation & Manual Testing

• Design, develop, and maintain automated test cases, scripts, and test frameworks for robotic subsystems and cloud-based applications.
• Conduct manual testing (functional, regression, and validation) on hardware and software components when needed.
• Develop robust Python and shell scripts to automate test execution, data collection, and validation pipelines.

Lab & Hardware Operations

• Operate, validate, and troubleshoot devices in a lab environment.
• Perform hardware setup, debugging, issue reproduction, and system-level validation.

Documentation & Quality Assurance

• Document test results, write professional test reports, and create clear defect tickets with reproduction steps.
• Contribute to regression planning, test plan updates, and improvements in test processes.

Collaboration & Debugging

• Work closely with hardware, software, and integration teams to analyze failures, debug complex issues, and drive corrective actions.
• Integrate automated tests into CI/CD pipelines to support continuous quality improvement.

Essential Skills

• 3+ years of experience in automated and manual testing of complex hardware/software or cloud-based systems.
• Strong proficiency in Python; good understanding of shell scripting (Bash or similar).
• Hands-on experience in Linux environments and test automation within CI/CD workflows.
• Ability to create clear, structured test cases, test reports, and defect documentation.
• Strong diagnostic, debugging, and hardware validation skills in lab environments.
• Excellent communication and collaboration abilities.
• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.

Additional Skills & Qualifications

• Experience with pytest, unittest, and other regression testing frameworks.
• Knowledge of validation processes, defect lifecycle management, and automation frameworks.
• Exposure to AWS or other cloud-based systems (preferred).
• Background in building computers, writing code, or assembling hardware (advantageous).
• Ability to excel in fast-paced R&D environments involving both hardware and cloud systems.