Company
Machina Labs, founded in 2019 by aerospace and auto industry veterans, is a smart manufacturing company based in Los Angeles, California. Enabled by advancements in artificial intelligence and robotics, Machina Labs is developing software-defined factories of the future. The mission of the company is to develop modular manufacturing solutions that can be reconfigured to manufacture new products simply by changing the software. The company is currently working to build the first commercial robotic sheet metal forming machine.
Machina Labs is funded and backed by major investors (NVIDIA, Innovation Endeavors and Lockheed Martin) in the field of AI and Deep Tech.
Job Description
We are seeking a talented and detail-oriented Software QA Engineer to ensure the quality and reliability of the software and hardware solutions developed by our teams. As a Software QA Engineer, you will work closely with our software, robotics, and automation teams to validate and test multiple technology stacks, including Python, ROS2, TwinCAT, JavaScript, and Node.js. You will be responsible for verifying that our robotic platform meets the highest standards of quality and functionality before reaching our customers.
Key Responsibilities:
- Develop and execute comprehensive test plans to ensure quality across multiple technology stacks (C++ (modern), Python, ROS2, TwinCAT, JavaScript, Node.js, Protocol Buffers).
- Design, implement, and maintain unit tests, system tests, and functionality tests for complex robotic systems.
- Collaborate with software engineers, roboticists, and automation specialists to identify and resolve bugs early in the development process.
- Implement and maintain automated testing frameworks to streamline and scale the testing process.
- Conduct rigorous testing of the robotic platform, including software-hardware integration, performance, safety, and reliability testing.
- API/communication layer testing: Ensure thorough testing of APIs, including general REST APIs, WebSocket, and specialized communication protocols such as gRPC and Protocol Buffers (protos) to validate communication between services in distributed systems.
- Analyze test results, generate reports, and ensure continuous improvement in the development pipeline.
- Track and manage defects, provide detailed documentation, and work closely with teams to resolve issues.
- Ensure compliance with industry standards and best practices for robotics, automation, and software development.
- Support post-release testing and continuous monitoring for delivered products.
Qualifications:
- Bachelor’s degree in Software Engineering, Robotics, Automation, or a related field.
- 3+ years of experience in quality control or software testing, with a focus on multi-stack environments.
- Strong knowledge of Python, ROS2, TwinCAT, JavaScript, Node.js, and Protocol Buffers (protos).
- Experience with unit testing frameworks, system testing methodologies, and test automation tools.
- Familiarity with robotic systems, embedded platforms, and integration testing.
- Experience testing APIs, including RESTful APIs, WebSocket communication, and specialized protocols such as gRPC.
- Experience with CI/CD pipelines, version control systems (e.g., Git), and automated testing suites.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills and ability to work collaboratively across teams.
Bonus Skills:
- Experience with Docker, Kubernetes, and cloud environments.
- Knowledge of safety-critical system testing.
- Familiarity with hardware testing, sensor calibration, and robot control systems.
$120,000 - $160,000 a yearMachina 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.
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