Tesla
What To Expect
Tesla is looking for a Silicon Process Integration Engineer to enable advanced logic SOC’s. In this highly visible role, you will work with cross‑functional teams and foundry integration teams in developing next generation custom SOCs for Tesla’s current and future platforms. You will be involved in NPI, high volume manufacturing, process window characterization, yield improvement, process optimization, WAT analysis, reliability projections, skew methodologies, product qualification, and DPPM reductions.
What You’ll Do
Lead and coordinate joint technical efforts with the foundry to resolve complex process‑related issues that impact product performance or yield.
Drive foundry process integration teams in bringing up the processes for advanced technology nodes (GAA and beyond).
Collaborate with cross‑functional teams to optimize power, performance, area, and cost for future SOC’s.
Debug process related issues in advanced technology nodes: FinFET, GAA, Back Side Power Delivery Network (BSPDN) and beyond.
Continuously monitor and analyze foundry process data to ensure the health of the manufacturing line and identify and troubleshoot issues related to yield, performance, and reliability.
Improve product yield by optimizing processes without impacting reliability or performance.
Qualify processes that can create long‑term impact in scaling Tesla’s products while reducing costs.
Drive qualified processes in reducing defects and sustaining high volume manufacturing at reduced auto‑grade PPM levels.
Lead structured DOE for yield, reliability, and process window characterization.
What You’ll Bring
Degree or equivalent with minimum 10 years of experience in process development, yield improvement, foundry and vendor management.
Strong background in optimizing silicon processes (FEOL, MOL, BEOL) for advanced technology nodes (FinFET, GAA, BSPDN).
Hands‑on experience debugging process‑related issues impacting yield, reliability, power, performance, cost and area.
Experience collaborating with external vendors and incorporating cutting‑edge processes into products.
In‑depth understanding of device physics, device‑level reliability, process qualification, physical failure analysis, and statistical analysis.
Good background in design‑technology co‑optimization (DTCO) for advanced nodes.
Ability to resolve ambiguity and adapt to a fast‑paced environment.
Effective communication and ability to work with geographically distributed teams.
Expected travel of 25% of time.
Benefits
Competitive pay and full benefits package as a Tesla employee.
Aetna PPO and HSA plans – 2 medical plan options with $0 payroll deduction.
Family‑building, fertility, adoption and surrogacy benefits.
Dental (including orthodontic coverage) and vision plans, both with $0 paycheck contribution.
Company‑Paid HSA contribution when enrolled in the High Deductible Aetna medical plan.
Healthcare and Dependent Care FSA.
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits.
Company‑paid Basic Life, AD&D, short‑term and long‑term disability insurance.
Employee Assistance Program.
Sick and vacation time (flex time for salary positions), and paid holidays.
Backup childcare and parenting support resources.
Voluntary benefits: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance.
Weight loss and tobacco cessation programs.
Tesla Babies program.
Commuter benefits.
Employee discounts and perks program.
Expected Compensation $85,760 – $338,280 per year + cash and stock awards + benefits. Pay offered may vary depending on location, experience, and qualifications. The total compensation package may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer.
Seniority Level Entry level
Employment Type Full‑time
Job Function Engineering and Information Technology
Industries Motor Vehicle Manufacturing, Renewable Energy, Semiconductor Manufacturing, and Utilities
Referrals increase your chances of interviewing at Tesla by 2x.
Get notified about new Process Integration Engineer jobs in
Palo Alto, CA .
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Tesla is looking for a Silicon Process Integration Engineer to enable advanced logic SOC’s. In this highly visible role, you will work with cross‑functional teams and foundry integration teams in developing next generation custom SOCs for Tesla’s current and future platforms. You will be involved in NPI, high volume manufacturing, process window characterization, yield improvement, process optimization, WAT analysis, reliability projections, skew methodologies, product qualification, and DPPM reductions.
What You’ll Do
Lead and coordinate joint technical efforts with the foundry to resolve complex process‑related issues that impact product performance or yield.
Drive foundry process integration teams in bringing up the processes for advanced technology nodes (GAA and beyond).
Collaborate with cross‑functional teams to optimize power, performance, area, and cost for future SOC’s.
Debug process related issues in advanced technology nodes: FinFET, GAA, Back Side Power Delivery Network (BSPDN) and beyond.
Continuously monitor and analyze foundry process data to ensure the health of the manufacturing line and identify and troubleshoot issues related to yield, performance, and reliability.
Improve product yield by optimizing processes without impacting reliability or performance.
Qualify processes that can create long‑term impact in scaling Tesla’s products while reducing costs.
Drive qualified processes in reducing defects and sustaining high volume manufacturing at reduced auto‑grade PPM levels.
Lead structured DOE for yield, reliability, and process window characterization.
What You’ll Bring
Degree or equivalent with minimum 10 years of experience in process development, yield improvement, foundry and vendor management.
Strong background in optimizing silicon processes (FEOL, MOL, BEOL) for advanced technology nodes (FinFET, GAA, BSPDN).
Hands‑on experience debugging process‑related issues impacting yield, reliability, power, performance, cost and area.
Experience collaborating with external vendors and incorporating cutting‑edge processes into products.
In‑depth understanding of device physics, device‑level reliability, process qualification, physical failure analysis, and statistical analysis.
Good background in design‑technology co‑optimization (DTCO) for advanced nodes.
Ability to resolve ambiguity and adapt to a fast‑paced environment.
Effective communication and ability to work with geographically distributed teams.
Expected travel of 25% of time.
Benefits
Competitive pay and full benefits package as a Tesla employee.
Aetna PPO and HSA plans – 2 medical plan options with $0 payroll deduction.
Family‑building, fertility, adoption and surrogacy benefits.
Dental (including orthodontic coverage) and vision plans, both with $0 paycheck contribution.
Company‑Paid HSA contribution when enrolled in the High Deductible Aetna medical plan.
Healthcare and Dependent Care FSA.
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits.
Company‑paid Basic Life, AD&D, short‑term and long‑term disability insurance.
Employee Assistance Program.
Sick and vacation time (flex time for salary positions), and paid holidays.
Backup childcare and parenting support resources.
Voluntary benefits: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance.
Weight loss and tobacco cessation programs.
Tesla Babies program.
Commuter benefits.
Employee discounts and perks program.
Expected Compensation $85,760 – $338,280 per year + cash and stock awards + benefits. Pay offered may vary depending on location, experience, and qualifications. The total compensation package may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer.
Seniority Level Entry level
Employment Type Full‑time
Job Function Engineering and Information Technology
Industries Motor Vehicle Manufacturing, Renewable Energy, Semiconductor Manufacturing, and Utilities
Referrals increase your chances of interviewing at Tesla by 2x.
Get notified about new Process Integration Engineer jobs in
Palo Alto, CA .
#J-18808-Ljbffr