Process Engineer, Precision Machining, Optimus

What to Expect

Tesla is seeking a self-motivated Process Engineer to ensure continuous production quality and enable world-class manufacturing of Tesla’s cutting-edge humanoid AI robot.

This is an exciting opportunity to make a profound impact in innovation of the humanoid bot manufacturing space. Tesla is a demanding and fast-paced environment where you will work on a critical subsystem of the Optimus architecture.

The successful Process Engineer will work with cross-functional teams to aggressively ramp the Optimus to full-scale production and beyond. This individual will develop robust operational processes to greatly improve efficiency and quality in Bot manufacturing. This includes analysis of yield, cycle time, and process capability. The engineer will leverage lean manufacturing principles, poke yoke fixtures, data visualization, material flow, and possess an exceptional ability to root cause based on first principles. They will identify trends and signals in process data to allow rapid generational leaps in Bot manufacturability and rate. This individual is exceptional at communication through data, with a demonstrated ability to delete and simplify complex process steps.

What You’ll Do

• Define and implement standardized manufacturing processes
• Create and maintain standard work and process documentation utilizing standard templates, software, and methods within 24 hours of process changes
• Create and maintain standard work generated from trials and changes initiated by New Part Introduction (NPI), tooling alterations, workstation design, and Industrial Engineering
• Ensure Production understanding and capability to complete processes as documented
• Ensure standard work is posted and/or readily available to production staff at each operation
• Perform and document standard work audits for content and adherence to sequence limiters within the first half of each financial quarter

What You’ll Bring

• Degree in Engineering, Mathematics, Physical Science, or equivalent experience
• Ability to derive data-supported root causes and propose strong countermeasures
• Tableau, R-studio, Minitab, and/or JMP experience preferred
• Must be able to pull data using efficient SQL queries, and in the absence of available databases, must be hands on in gathering critical data as systems develop in parallel
• Exceptional problem-solving skills and an aptitude for learning systems quickly, capacity for managing simultaneous activities and challenges
• Demonstrated experience in ramping a manufacturing line
• Proven history of innovation and drive to do things better, cheaper, faster in alignment with Tesla’s aggressive approach to ramping production lines
• Desired Manufacturing Skillsets
• Ignition Automation experience, familiarity with two-part adhesives, Atlas-Copco fastener rundown traces and quality detection methods
• Additive manufacturing and CAD strongly preferred
• Familiarity in Vision inspection systems preferred, such as Keyence 2D image inspection and profilometry