Software Engineer in Test (SET)

Machina Labs is seeking a Software Engineer in Test (SET) to own quality, validation, and release execution across our software platform as we develop and deploy new features and services.

This role is responsible for defining quality strategy for the software stack, validating release candidates, and supporting deployments to production. You will build automated testing infrastructure, execute validation of new features, triage software issues, and act as a gatekeeper for software releases. The role partners closely with software engineers and collaborates with robotics and automation engineers when software changes impact production cells.

The ideal candidate combines strong software engineering fundamentals with deep experience in test automation, CI/CD pipelines, and production-grade release processes.

Key Responsibilities

• Own and drive quality strategy for the software stack, including TypeScript, React, Next.js, Python, and Azure GCC High.
• Define, formalize, and maintain test plans, test suites, and release criteria for software systems.
• Execute smoke tests, regression tests, and system validation of release candidates.
• Serve as release authority, approving or blocking promotion from release candidate to official production release.
• Design, implement, and maintain automated testing and validation pipelines integrated with CI/CD.
• Run tests and experiments for new features to validate functionality, performance, and reliability.
• Support deployment of software releases to Azure, including monitoring and initial issue response.
• Collect and synthesize feedback from users to inform quality improvements and testing priorities.
• Triage and support software issues, performing initial investigation and escalating to engineering teams as needed.
• Partner with Robotics and Automation Engineers in Test when required, including deployments to production cells, user support, and large-scale release validation.
• Continuously improve testing tools, processes, and release workflows as the platform scales.

Basic Qualifications

• Bachelor’s degree in Engineering, Computer Science, or comparable practical experience.
• Experience testing software systems, including writing test scripts or test code.
• Hands-on experience with automated testing frameworks or tools.
• Ability to debug issues across software and automation interfaces.
• Strong problem-solving and communication skills.

Preferred Qualifications

• Experience testing industrial automation systems, robotics, or hardware-software integrated products.
• Familiarity with CI/CD pipelines, versioned deployments, and release validation.
• Experience supporting deployments and troubleshooting issues in production environments.
• Background working in small, fast-moving engineering teams where quality ownership is critical.
• This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this role. Duties and responsibilities may change based on business needs.

$140,000 - $165,000 a year

Actual compensation will be determined based on experience, skills, qualifications, and geographic location.

In addition to the provided base salary range, comprehensive benefits (Medical, Dental, Vision), PTO, and Stock Options.

Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law.

We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.