Robotics Engineer: Process

GrayMatter Robotics; Los Angeles (CA); Hybrid; USD 80,000 - 100,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

Unlimited PTO

401(k) plan with employer match

Regular offsite events

Job summary

GrayMatter Robotics is looking for a Process Engineer in Los Angeles to optimize robotic manufacturing processes for surface finishing tasks. The ideal candidate will have a strong background in mechanical engineering or related fields, with at least 2 years of industry experience. Key responsibilities include designing experiments, analyzing data for process improvements, and collaborating with customers. Proficiency in material science and skills in Python or CAD software are preferred. The role involves travel to customer sites up to 50% of the time.

Qualifications

• Bachelor’s degree or higher in Mechanical Engineering, Robotics, Material Science, or a closely related field.
• 2+ years of industry experience in manufacturing process development or engineering.
• Demonstrated use of DoE or DFSS methodology in work.

Responsibilities

• Develop and optimize robotic manufacturing processes for surface finishing applications.
• Design and execute structured experiments to characterize material removal physics.
• Analyze manufacturing data to identify patterns and drive improvement.

Skills

Analytical skills

Problem-solving skills

Material science knowledge

Experience with DoE methodology

Python

Education

Bachelor's degree in Mechanical Engineering, Robotics, or Material Science

Tools

CAD software (SolidWorks, NX, CATIA)

AI and data analysis tools

Job 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.

Role

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: GMR’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.

Role & Responsibilities

• Develop and optimize robotic manufacturing processes for surface finishing applications including sanding, polishing, spray coating, and coating removal.
• Design and execute structured experiments (DoE methodology) to characterize material removal physics and quantify process parameters.
• Build and refine process models that translate experimental findings into deployable, customer-ready automation.
• Apply material science knowledge to understand substrate behavior at the chemical and mechanical level and use that understanding to inform process decisions.
• Collaborate with customers to understand their specific requirements and translate them into process specifications.
• Support the design and implementation of new end-of-arm tooling (EOAT) for robotic manufacturing processes.
• Analyze manufacturing data to identify patterns, validate models, and drive continuous process improvement.
• Work cross-functionally with robotics, systems, and application engineers to integrate process improvements into customer deployments.
• Leverage AI and data analysis tools (Python, statistical software) to accelerate process characterization, identify parameter interactions, and build more accurate predictive models.
• Travel to customer sites as needed, up to 50% of the time.

Export 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.

Minimum Qualifications

• Bachelor’s degree or higher in Mechanical Engineering, Robotics, Material Science, or a closely related field.
• 2+ years of industry experience in manufacturing process development, process engineering, or a directly related role.
• Demonstrated 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.
• Proficiency in material science principles and their application to manufacturing processes.
• Strong analytical and problem-solving skills; comfortable working from data to conclusions.
• Experience working in a research capacity, in either an academic or industry setting.
• Willingness to travel to customer sites as required by the role.
• Ability to operate effectively in a fast‑paced environment with rapidly changing priorities.
• Must meet export control requirements in the United States and maintain ongoing work authorization beginning at the time of hire through the entirety of employment.

Preferred Qualifications

• Master’s degree or higher in Mechanical Engineering, Robotics, Material Science, or a closely related field.
• 5+ years of experience in process engineering within a manufacturing, robotics, or automation environment.
• Design for Six Sigma (DFSS) certification or equivalent structured experimental design training.
• Experience with robotic systems and end-of-arm tooling, particularly in surface finishing or material removal applications.
• Proficiency in Python or C++ for data analysis, statistical modeling, or process automation.
• Experience with CAD software (SolidWorks, NX, CATIA) for EOAT collaboration and design review.
• Background in both R&D and commercial production environments; comfort switching between early-stage development and structured customer deployments.
• Demonstrated use of AI or machine learning tools to accelerate process characterization, predict parameter interactions, or optimize experimental design.
• FANUC robot programming or comparable industrial robot experience.

GrayMatter 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 are committed to providing reasonable accommodations for candidates with disabilities. If you believe you require accommodations during the recruiting process, please contact [e-mail] to submit your request.

Please 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.

Depending 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 reflects the minimum and maximum new hire salary across levels in Los Angeles, CA.