Lead Software QA Engineer, Robotics and Automation

Job Responsibilities

Software Quality Assurance & Release Validation

• Execute pre-release test plans for software builds prior to transfer to the independent QA organization.
• Develop scripts and tools supporting functional, regression, integration, and system testing activities.
• Identify, document, track, and verify software defects through resolution.
• Collaborate with software engineers to reproduce issues and validate corrective actions.
• Provide release readiness recommendations to Software Development leadership.

Unit Testing & Quality Metrics

• Review unit test coverage across software components and identify validation gaps.
• Develop and maintain unit tests for critical software modules.
• Establish unit test coverage metrics and incorporate coverage targets into release readiness criteria.
• Utilize AI-assisted tools to support unit test review, generation, and coverage analysis.

Cybersecurity Validation

• Perform static code analysis, dynamic application testing, dependency scanning, and vulnerability assessments.
• Validate secure deployment processes, credential management controls, network configurations, and system access controls.
• Assess software and equipment for unintended services, open ports, and cybersecurity risks.
• Evaluate cybersecurity considerations associated with third-party software and hardware integrations.
• Utilize AI-assisted tools to support cybersecurity analysis and compliance validation activities.

Automation Equipment Testing & Troubleshooting

• Operate production-equivalent Alpha laboratory automation systems.
• Perform system startup, shutdown, and troubleshooting activities.
• Execute representative production workflows to validate software behavior under operating conditions.
• Troubleshoot issues involving robotics, machine vision systems, barcode printers and readers, pneumatic systems, VFD-controlled conveyors, sensors, and serial communication devices.
• Partner with hardware and controls engineering teams to diagnose software, hardware, and integration-related issues.

Process Development

• Develop, document, and maintain repeatable pre-release testing processes and standards.
• Define workflows, documentation requirements, and validation procedures for the pre-release testing function.
• Establish release handoff criteria and documentation standards for the independent QA organization.
• Recommend and implement testing frameworks, tools, and processes supporting robotics and automation environments.

Minimum Qualifications

• Associate degree in Computer Science, Software Engineering or Electrical Engineering with 5 or more years of experience; or Bachelor's degree in Computer Science, Software Engineering or Electrical Engineering with 3 or more years of experience.
• 3 or more years of experience developing test automation tools using Python, Java, C#, C++, or similar programming languages.
• 3 or more years of experience creating, executing, and maintaining functional, integration, regression, or system-level software test plans.
• 3 or more years of experience reviewing, developing, or maintaining unit tests within a software development lifecycle.
• 2 or more years of experience using AI-enabled tools to support software testing, unit test coverage analysis, code review, or quality validation activities.
• 2 or more years of experience performing static code analysis, dynamic application testing, dependency scanning, vulnerability assessment, or cybersecurity validation activities.
• 2 or more years of experience supporting software deployment or release processes for embedded systems, automation systems, or equipment-controlled software.
• 2 or more years of experience troubleshooting integrated software and hardware systems.
• 1 or more years of experience operating, testing, or validating automated equipment, robotics systems, industrial controls, or comparable electromechanical systems.
• 2 or more years of experience using defect tracking platforms such as Jira, Azure DevOps, or equivalent systems.

Preferred Qualifications

• Master's degree in Computer Science, Software Engineering or Electrical Engineering with 1 or more years of experience performing software quality assurance, software test engineering, or software engineering activities.
• 5 or more years of experience performing software quality assurance, software test engineering, or software engineering activities supporting complex software systems.
• 3 or more years of experience supporting laboratory automation, medical device, industrial automation, robotics, or regulated manufacturing environments.
• 3 or more years of experience validating software in environments operating under FDA, ISO 13485, or comparable quality management systems.
• 3 or more years of experience using AI-enabled tools for cybersecurity analysis, vulnerability assessment, secure deployment validation, or software quality improvement activities.
• 3 or more years of experience testing or troubleshooting systems integrating machine vision technologies, barcode printing and scanning systems, pneumatic actuators, VFD-controlled equipment, sensors, and serial communication protocols.
• 2 or more years of experience developing or maintaining automated testing frameworks.
• 2 or more years of experience evaluating cybersecurity risks associated with third-party hardware and software integrations.

Additional Job Standards

• Demonstrated attention to detail when performing software validation and defect analysis activities.
• Ability to establish structure, processes, and documentation within a newly created function.
• Ability to communicate technical findings to software engineers, controls engineers, quality teams, and management.
• Ability to collaborate effectively across software, hardware, controls, and quality organizations.
• Ability to prioritize testing activities across multiple software releases and projects.
• Understanding of software quality assurance methodologies and software development lifecycle practices.
• Understanding of cybersecurity principles applicable to software-controlled equipment and automation systems.