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TM
Tesla Motors, Inc.
Systems Process Engineer, Energy Service
Career Insights for Automation Engineer
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What they do
An Automation Engineer develops and implements testing strategies and toolsets with the goal of increasing process automation. Establishes appropriate measures to validate and report on software quality. Designs and implements test automation to improve system reliability and stability. Designs and supports frameworks for test infrastructure. Provides automation expertise and mentoring.
$153,690 / year median in California
-9% projected decline
Job Description
Systems Process Engineer, Energy Service Tesla Motors, Inc. 120,000 - 228,000 USD paid holidays, flex time, 401(k) United States, California, Hayward Aug 15, 2026
What to Expect
Energy Service spends significant bandwidth on process work that is software and systems craft. The internal GUID tool and product self-test scripts dominate field process demand; top Megapack and Supercharger procedures still own more than half of onsite productive steps (Millions of dollars in Y2Y labor in front of those tools). Tens of thousands of hours go to ECU swaps and "improficient" inverter and battery module replacements where time estimate, tooling, and procedure quality never closed the loop. This Systems Process Engineer owns OKRs that free design: service activity specs and first-pass-yield for product self-test scripts and the internal GUID tool, efficiency baseline quality and procedure validation, tooling/BETA process, and data collection via process integration-so field software and support systems carry the load instead of ad-hoc content tickets and heroics. (Mechanical process engineering is owned by a partner team; this role is the software/systems process counterpart.) What You'll Do
Own systems process for product self-test scripts and the internal GUID tool. Write service activity specs and first-pass-yield formulas for top Megapack and Supercharger self-test procedures; audit shapes; release custom SWHW tools, firmware, and procedure packages; drive internal GUID tool changes to engineering change proactively-and publish self-test health metrics so efficiency is visible, not anecdotal
Make efficiency baselines and procedures trustworthy. Dynamic time estimates on high-volume self-test routines; deterministic pass/fail; investigate multi-quarter median failures with field tech champions; kill outliers before they become permanent labor
Industrialize tooling and