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About Machina Labs:
At Machina Labs, we’re reshaping manufacturing through advanced robotics and machine learning. Our platform uses the largest 6-axis robots on the market to form 2D sheets of metal into complex 3D parts, layer-by-layer.
Traditional sheet metal production was designed for scale, not flexibility. It relies on costly dies and tooling that make lower volume projects prohibitively slow and expensive. We’re changing that. Whether you’re a startup building a few thousand airframes or an automaker prototyping next-generation components, Machina Labs gives you the ability to iterate and manufacture at the speed of software.
With support from the venture arms of Toyota, NVIDIA, and Lockheed Martin, we’re accelerating the future of manufacturing, one where factories are flexible, production is on-demand, and innovation is unconstrained.
Job Description:
Machina Labs is seeking a Robotics Automation Engineer in Test to own quality, validation, and release execution across our robotics and industrial automation software stack as we deploy and scale production cells.
This role is responsible for defining and enforcing quality strategy for robotics and automation systems, validating release candidates, and supporting deployments to production cells. You will work hands-on with physical systems, running tests and experiments on cells, supporting issue triage, and acting as a gatekeeper for production releases. This position operates closely with robotics, controls, and software teams and has the authority to approve the transition from release candidate to official release.
The ideal candidate combines strong robotics and automation engineering fundamentals with a disciplined approach to testing, validation, and production readiness in hardware-integrated environments.
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.
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