Robotics Process Engineer: DoE, AI & Materials

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

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.