RETHINK MANUFACTURING
The only way to ignite change is to build the best team. At Bright Machines®, we’re innovators and experts in our craft who have joined together to create a new category of manufacturing that will help transform the industry. We believe software and data are the answer, thoughtfully applied to solve our customers’ unique challenges. Through intelligent automation, we give factories newfound flexibility, scalability, and resilience. We deliver products to meet the demands of today while building a platform to take advantage of what comes next.
Working with us means you’ll have the opportunity to make lasting, impactful changes for our company and our customers. If you’re ready to apply your exceptional skills to create the factory of the future, we’d love to speak with you.
ABOUT THE ROLE
As a Software Quality Engineer (SQE) at Bright Machines, you will work closely with R&D teams to ensure the delivery of high-quality, reliable software with our Design for Automated Assembly product. You will play a critical role in defining testing strategies, implementing automated test frameworks, and validating software functionality in complex, high-performance industrial environments. Your work will directly impact the efficiency, reliability, and innovation of Bright Machines’ software solutions. You will work directly with customers to ensure they are able to report and track issues.
WHAT YOU WILL BE DOING
- Design, develop, and execute automated and manual tests for software across factory automation, analytics, and operations systems.
- Collaborate with software engineers, product managers, and QA leads to define quality standards and testing strategies.
- Develop and maintain test frameworks, CI/CD pipelines, and tooling to support efficient validation of software releases.
- Identify, document, and track software defects; work with engineering teams to troubleshoot and resolve issues.
- Ensure software releases meet quality standards, performance benchmarks, and security requirements.
- Contribute to continuous improvement initiatives to enhance test coverage, automation, and QA processes.
- Participate in design and code reviews to provide input on testability and quality considerations.
WHAT WE WANT TO SEE
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
- 3+ years of experience in software quality assurance, preferably in automation, industrial software, or embedded systems.
- Experience with automated testing frameworks (e.g., vitest, catch2, etc…) and CI/CD tools (e.g., GitLab CI, Argo, Cargo).
- Familiarity with software development lifecycle (Agile/Scrum) and quality processes.
- Strong analytical, problem-solving, and debugging skills.
- Excellent communication and collaboration skills across multidisciplinary teams.
- Experience with industrial automation, robotics, or factory systems is a plus.
BE EMPOWERED TO CHANGE AN INDUSTRY
Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure assembly operations. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers and leading Original Equipment Manufacturers (OEMs). With its new AI factory, Bright Machines addresses increasing market demands for computing power due to the surge of AI and the U.S. national mandate to reshore manufacturing by building data center infrastructure at scale with higher quality and shorter time-to-market.
Bright Machines is headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico. The company has been recognized as one of Forbes’ AI 50, awarded “Best AI-based Solution for Manufacturing” by AI Breakthrough, named a “Technology Pioneer” by the World Economic Forum, and highlighted by several other leading technology and innovation organizations.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.
