{"schemaVersion":"jobsearcher.job.v1","id":"0931ada7c19a2df8eacbe85f","url":"https://jobsearcher.com/jobs/0931ada7c19a2df8eacbe85f","canonicalUrl":"https://jobsearcher.com/jobs/0931ada7c19a2df8eacbe85f","title":"Robotics Engineer: Process","description":"Summary Headquartered in sunny Los Angeles, GrayMatter Robotics is a well‑capitalized AI robotics startup serving the manufacturing industry. We empower shop floor workers with our smart robots that assist with tedious and ergonomically challenging tasks, specifically in automated surface finishing. Our proprietary GMR‑AI™ software is integrated with state‑of‑the‑art industrial robots, sensors, and tools to create application‑specific turnkey solutions for customers through a Robot‑as‑a‑Service (RaaS) model.\nThe Problem Statement At GrayMatter Robotics, we build from the ground up, including how we architect our teams. We don’t hire for generic titles; we break our business needs down to their fundamental truths. Driven by first principles, we deconstructed our goals to see what we truly needed and as a result, we engineered this role specifically to bridge the following gap:\nGMR’s robots handle some of the most demanding surface finishing applications in manufacturing — sanding, polishing, coating removal — across customers like Caterpillar, Wabash, HII, and Pierce. The physics of material removal are complex, non‑obvious, and deeply variable across parts and environments. We don’t just deploy robots; we build the quantitative process science that makes them work. The Process team generates that science: designing experiments, characterizing materials, building predictive models, and translating R&D into deployable, repeatable automation. We need a process engineer who thrives in exactly this kind of environment — someone who can move between ambiguous R&D problems and live customer deployments without missing a beat.\nRole & Responsibilities Develop and optimize robotic manufacturing processes for surface finishing applications including sanding, polishing, spray coating, and coating removal.\nDesign and execute structured experiments (DoE methodology) to characterize material removal physics and quantify process parameters.\nBuild and refine process models that translate experimental findings into deployable, customer‑ready automation.\nApply material science knowledge to understand substrate behavior at the chemical and mechanical level and use that understanding to inform process decisions.\nCollaborate with customers to understand their specific requirements and translate them into process specifications.\nSupport the design and implementation of new end‑of‑arm tooling (EOAT) for robotic manufacturing processes.\nAnalyze manufacturing data to identify patterns, validate models, and drive continuous process improvement.\nWork cross‑functionally with robotics, systems, and application engineers to integrate process improvements into customer deployments.\nLeverage AI and data analysis tools (Python, statistical software) to accelerate process characterization, identify parameter interactions, and build more accurate predictive models.\nTravel to customer sites as needed, up to 50% of the time.\nExport Control Requirements In order to comply with the export regulations of the United States Government, it is required that the applicant must fall under one of the following categories: (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (i.e. current green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158.\nMinimum Qualifications Bachelor’s degree or higher in Mechanical Engineering, Robotics, Material Science, or a closely related field.\n2+ years of industry experience in manufacturing process development, process engineering, or a directly related role.\nDemonstrated use of Design of Experiments (DoE) or Design for Six Sigma (DFSS) methodology in daily work. Qualifying experience must come from at least one of the following: (i) testing at school or in the workplace, (ii) design or process optimization, (iii) factory or production optimization, or (iv) reliability or quality testing. Certification is not required; practical application is.\nProficiency in material science principles and their application to manufacturing processes.\nStrong analytical and problem‑solving skills; comfortable working from data to conclusions.\nExperience working in a research capacity, in either an academic or industry setting.\nWillingness to travel to customer sites as required by the role.\nAbility to operate effectively in a fast‑paced environment with rapidly changing priorities.\nMust meet export control requirements in the United States and maintain ongoing work authorization beginning at the time of hire through the entirety of employment.\nPreferred Qualifications Master’s degree or higher in Mechanical Engineering, Robotics, Material Science, or a closely related field.\n5+ years of experience in process engineering within a manufacturing, robotics, or automation environment.\nDesign for Six Sigma (DFSS) certification or equivalent structured experimental design training.\nExperience with robotic systems and end‑of‑arm tooling, particularly in surface finishing or material removal applications.\nProficiency in Python or C++ for data analysis, statistical modeling, or process automation.\nExperience with CAD software (SolidWorks, NX, CATIA) for EOAT collaboration and design review.\nBackground in both R&D and commercial production environments; comfort switching between early‑stage development and structured customer deployments.\nDemonstrated use of AI or machine learning tools to accelerate process characterization, predict parameter interactions, or optimize experimental design.\nFANUC robot programming or comparable industrial robot experience.\nGrayMatter Robotics provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. We celebrate diversity and are committed to creating an inclusive environment for all employees. We encourage and embrace applicants of all backgrounds to apply!\nGrayMatter Robotics is committed to providing reasonable accommodations for candidates with disabilities. If you believe you require accommodations during the recruiting process, please contact accommodations@graymatter-robotics.com to submit your request.\nPlease note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.\nDepending on the position and if listed, compensation may include the base salary range, bonus or commission, and equity. We also provide comprehensive benefits and perks which include but are not limited to medical, dental, vision, unlimited PTO, 401(k) plan + employer match, regular offsite events, a discretionary fund for enhancing productivity and so much more! The range listed on job postings reflect the minimum and maximum new hire salary across levels in Los Angeles, CA.\n\n#J-18808-Ljbffr","company":"Graymatter Robotics","rawCompany":"graymatter robotics","city":"Carson","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-06-29T03:21:26.758Z","occupations":[{"code":"17-2199.08","title":"Robotics Engineers","slug":"robotics-engineers"},{"code":"17-2112.03","title":"Manufacturing Engineers","slug":"manufacturing-engineers"},{"code":"17-2112.00","title":"Industrial Engineers","slug":"industrial-engineers"}],"industries":[{"code":"333248","title":"All Other Industrial Machinery Manufacturing","slug":"all-other-industrial-machinery-manufacturing"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Robotics Engineer: Process","description":"Summary Headquartered in sunny Los Angeles, GrayMatter Robotics is a well‑capitalized AI robotics startup serving the manufacturing industry. We empower shop floor workers with our smart robots that assist with tedious and ergonomically challenging tasks, specifically in automated surface finishing. Our proprietary GMR‑AI™ software is integrated with state‑of‑the‑art industrial robots, sensors, and tools to create application‑specific turnkey solutions for customers through a Robot‑as‑a‑Service (RaaS) model.\nThe Problem Statement At GrayMatter Robotics, we build from the ground up, including how we architect our teams. We don’t hire for generic titles; we break our business needs down to their fundamental truths. Driven by first principles, we deconstructed our goals to see what we truly needed and as a result, we engineered this role specifically to bridge the following gap:\nGMR’s robots handle some of the most demanding surface finishing applications in manufacturing — sanding, polishing, coating removal — across customers like Caterpillar, Wabash, HII, and Pierce. The physics of material removal are complex, non‑obvious, and deeply variable across parts and environments. We don’t just deploy robots; we build the quantitative process science that makes them work. The Process team generates that science: designing experiments, characterizing materials, building predictive models, and translating R&D into deployable, repeatable automation. We need a process engineer who thrives in exactly this kind of environment — someone who can move between ambiguous R&D problems and live customer deployments without missing a beat.\nRole & Responsibilities Develop and optimize robotic manufacturing processes for surface finishing applications including sanding, polishing, spray coating, and coating removal.\nDesign and execute structured experiments (DoE methodology) to characterize material removal physics and quantify process parameters.\nBuild and refine process models that translate experimental findings into deployable, customer‑ready automation.\nApply material science knowledge to understand substrate behavior at the chemical and mechanical level and use that understanding to inform process decisions.\nCollaborate with customers to understand their specific requirements and translate them into process specifications.\nSupport the design and implementation of new end‑of‑arm tooling (EOAT) for robotic manufacturing processes.\nAnalyze manufacturing data to identify patterns, validate models, and drive continuous process improvement.\nWork cross‑functionally with robotics, systems, and application engineers to integrate process improvements into customer deployments.\nLeverage AI and data analysis tools (Python, statistical software) to accelerate process characterization, identify parameter interactions, and build more accurate predictive models.\nTravel to customer sites as needed, up to 50% of the time.\nExport Control Requirements In order to comply with the export regulations of the United States Government, it is required that the applicant must fall under one of the following categories: (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (i.e. current green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158.\nMinimum Qualifications Bachelor’s degree or higher in Mechanical Engineering, Robotics, Material Science, or a closely related field.\n2+ years of industry experience in manufacturing process development, process engineering, or a directly related role.\nDemonstrated use of Design of Experiments (DoE) or Design for Six Sigma (DFSS) methodology in daily work. Qualifying experience must come from at least one of the following: (i) testing at school or in the workplace, (ii) design or process optimization, (iii) factory or production optimization, or (iv) reliability or quality testing. Certification is not required; practical application is.\nProficiency in material science principles and their application to manufacturing processes.\nStrong analytical and problem‑solving skills; comfortable working from data to conclusions.\nExperience working in a research capacity, in either an academic or industry setting.\nWillingness to travel to customer sites as required by the role.\nAbility to operate effectively in a fast‑paced environment with rapidly changing priorities.\nMust meet export control requirements in the United States and maintain ongoing work authorization beginning at the time of hire through the entirety of employment.\nPreferred Qualifications Master’s degree or higher in Mechanical Engineering, Robotics, Material Science, or a closely related field.\n5+ years of experience in process engineering within a manufacturing, robotics, or automation environment.\nDesign for Six Sigma (DFSS) certification or equivalent structured experimental design training.\nExperience with robotic systems and end‑of‑arm tooling, particularly in surface finishing or material removal applications.\nProficiency in Python or C++ for data analysis, statistical modeling, or process automation.\nExperience with CAD software (SolidWorks, NX, CATIA) for EOAT collaboration and design review.\nBackground in both R&D and commercial production environments; comfort switching between early‑stage development and structured customer deployments.\nDemonstrated use of AI or machine learning tools to accelerate process characterization, predict parameter interactions, or optimize experimental design.\nFANUC robot programming or comparable industrial robot experience.\nGrayMatter Robotics provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. We celebrate diversity and are committed to creating an inclusive environment for all employees. We encourage and embrace applicants of all backgrounds to apply!\nGrayMatter Robotics is committed to providing reasonable accommodations for candidates with disabilities. If you believe you require accommodations during the recruiting process, please contact accommodations@graymatter-robotics.com to submit your request.\nPlease note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.\nDepending on the position and if listed, compensation may include the base salary range, bonus or commission, and equity. We also provide comprehensive benefits and perks which include but are not limited to medical, dental, vision, unlimited PTO, 401(k) plan + employer match, regular offsite events, a discretionary fund for enhancing productivity and so much more! The range listed on job postings reflect the minimum and maximum new hire salary across levels in Los Angeles, CA.\n\n#J-18808-Ljbffr","datePosted":"2026-06-29T03:21:26.758Z","dateModified":"2026-06-29T03:21:26.758Z","hiringOrganization":{"@type":"Organization","name":"Graymatter Robotics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Carson","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0931ada7c19a2df8eacbe85f"},"url":"https://jobsearcher.com/jobs/0931ada7c19a2df8eacbe85f"}}