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# Technical Program Manager, SI Hardware

- **Company:** Tesla Motors
- **Location:** Palo Alto, CA, United States
- **Experience:** Expert
- **Salary:** $128,000.0 - $312,000.0
- **Contract:** Permanent contract
- **Skills:** Very-Large-Scale Integration, Computer Engineering, Software Engineering, Systems Integration, Strategies of Testing, Physical Verification, Hardware Acceleration, Physical Design
- **Published:** October 15, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/87124366/1

## About the Role

* Degree in Electrical Engineering, Computer Engineering, or related field, or equivalent work experience
 * 10+ years of industry work experience in VLSI/IC design and Minimum of 5+ years of experience in product or program management, operations, or a related field, with a strong focus on process improvement and operationalization
 * Proven experience in managing cross-functional teams and collaborating with stakeholders to achieve program goals
 * Strong understanding of industry standards and regulatory requirements relevant to energy storage and grid-scale projects
 * Excellent analytical and problem-solving skills, with the ability to manage complex information and make data-driven decisions

## Description

The Technical Program Manager plays a pivotal role in Tesla's AI Hardware silicon engineering development team, managing end-to-end cross-functional projects throughout the silicon development cycle. This position requires strong leadership in advancing silicon products for high-density compute applications, encompassing
componentdesign, design verification, DFT (Design for Test), physical design, physical verification, integration, bring-up, post-silicon validation and experience,scheduling, test/validation strategies, change management, supply chain operations. Given the fast-paced evolution of the AI Hardware initiative, the TPM is essential in guiding teams toward efficient and successful outcomes.
What You'll Do

 * Lead silicon product development for high-density compute, overseeing key areas includingcomponentdesign, system integration, scheduling, engineering builds, test and validation planning, change management, supply chain coordination, and production ramp-up
 * Drive cross-functional teams to success in the rapidly iterating AI Hardware project, ensuring agile execution andtimelydelivery of milestones