Manufacturing Process Engineer, Optimus Factory, Gears

Tesla is seeking a Manufacturing Process Engineer to support the development and launch of the Optimus Gears manufacturing program. This role is responsible for developing, optimizing, and sustaining specialized manufacturing processes supporting precision gear production. You will transition automated lines from early prototypes through FAT/SAT commissioning and mass production (SOP). APPLICATION NOTE: You do not need expertise in all areas to apply. We are looking for specialized engineering leaders. The successful candidate will own and lead the process development for ANY ONE of the following technical tracks: Track 1: Heat Treatment (induction or laser hardening process) Track 2: Precision Machining Track 3: Gearbox Assembly Track 4: End-of-Line Testing Track 5: Advanced Metrology (CMM programming, inline automated gauging, GD&T, Gage R&R) Travel expected 25% - Ability to travel domestically and internationally to suppliers as required.

Responsibilities

Process Ownership: Fully own, optimize, and scale the operational performance of your assigned technical track Design of Experiments (DOE): Structure, execute, and analyze formal DOEs to identify critical process parameters, minimize process variation, and establish optimized baselines for complex parts of the mechatronic systems Create process flows, PFMEA, Control Plans, and standardized work Support equipment specifications and supplier RFQs Participate in equipment design reviews and process validation Support installation, FAT, SAT, and commissioning activities Develop process capability and manufacturing acceptance criteria Improve safety, quality, throughput, cycle time, and OEE Support pilot builds and production ramp activities Root-Cause Optimization: Address equipment failure modes, process bottlenecks, and quality variances by utilizing first-principles engineering and data-driven corrective problem-solving methods

Requirements

Degree in Mechanical, Industrial, Manufacturing Engineering, Metrology, or equivalent experience Hands-on expertise launching & optimizing equipment within one of the five core tracks listed above Strong statistical background with proven experience applying Design of Experiments (DOE), statistical process control (SPC), and data-driven optimization Experience with PFMEA, Control Plans, SPC, and Lean Manufacturing Strong analytical and problem-solving skills Knowledge of robotics, automation, and machine vision