Process Engineering Positions

Module Process EngineerTesla is seeking highly driven Module Process Engineers across multiple disciplines to accelerate advanced system-on-chip (SoC) development. In this role, you will partner with cross-functional teams across the fab and Tesla's global network to deliver best-in-class processes with industry-leading yield, performance, and reliability. ResponsibilitiesOwn end-to-end module performance — from new tool installation and process development through qualification, production ramp, and high-volume manufacturing (HVM) supportLead tool installation and qualification programs, driving on-time, spec-compliant performance and seamless HVM transitionsExecute tool-to-tool and fab-to-fab matching, ensuring global alignment across Tesla's sister fabs to achieve uniformity in productionPartner with equipment vendors and internal stakeholders to develop and sustain leading-edge module technologies that maximize yield, reliability, and cost-effectivenessDesign and lead complex DOEs to optimize process windows, extract actionable insights, and guide data-driven process improvementsDrive systematic yield improvement using structured problem-solving methodologies (FMEA, 8D, 5 Whys, DMAIC), leveraging upstream/downstream integration knowledgeLead cross-functional task forces to troubleshoot process excursions, perform root-cause and failure analysis, and implement long-term corrective actionsDevelop and maintain technical documentation including design-of-records, control plans, specifications, and standardized operating proceduresChampion continuous improvement in safety, quality, throughput, and cost, directly supporting the fab's operational excellence roadmapSupport 24/7 manufacturing operations through rotations, on-call availability, and rapid response to critical production issuesRequirementsDegree or equivalent experience in a relevant engineering discipline with 10+ years of experience in process development, tool install/troubleshooting, yield improvement, foundry collaboration, and vendor managementProven silicon process expertise in optimizing a specific module process for advanced technology nodes (FinFET and GAA Technology)Hands-on proficiency in debugging process issues impacting yield and power/performance/area cost (PPAC)Experience collaborating with global vendors and integrating cutting-edge semiconductor processes into high-volume productionDeep understanding of device physics, unit process qualifications, device reliability, failure analysis, and statistical methodsExceptional ability to navigate ambiguity, execute in fast-paced environments, and deliver results under pressureStrong communication skills with a track record of effective collaboration across geographically distributed, cross-functional teamsExpected travel is 25% of timeCompensation & BenefitsBenefitsAlong with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:Medical plans plan options with $0 payroll deductionFamily-building, fertility, adoption and surrogacy benefitsDental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contributionCompany Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSAHealthcare and Dependent Care Flexible Spending Accounts (FSA)401(k) with employer match, Employee Stock Purchase Plans, and other financial benefitsCompany paid Basic Life, AD&DShort-term and long-term disability insurance (90 day waiting period)Employee Assistance ProgramSick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid HolidaysBack-up childcare and parenting support resourcesVoluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insuranceWeight Loss and Tobacco Cessation ProgramsTesla Babies programCommuter benefitsEmployee discounts and perks programExpected Compensation $88,000 - $240,000/annual salary + cash and stock awards + benefitsPay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.