Tesla

Makes electric cars, robotaxis and grid batteries

Silicon Process Integration Engineer

Process EngineeringConfirmed live in the last 24 hours

Full-timeHwaseong-si, Gyeonggi-do, South KoreaNo salary listed

About the Job

Requirements

A bachelor's, master's, or Ph.D. degree in a technical field and at least 10 years of experience in process development, yield improvement, foundry management, and vendor management.
Strong background in optimizing silicon processes (FEOL, MOL, and BEOL) for advanced technology nodes, including FinFET, GAA, and BSPDN.
Hands-on experience debugging process-related issues affecting yield, reliability, power, performance, cost, and area.
In-depth understanding of device physics, device-level reliability, process qualification, physical failure analysis, and statistical analysis.
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.

Responsibilities

Lead and coordinate joint technical efforts with the foundry to resolve complex process-related issues affecting product performance or yield.
Drive foundry process integration teams in bringing up processes for advanced technology nodes, including GAA and beyond.
Collaborate with cross-functional teams to optimize power, performance, area, and cost for future systems-on-chip.
Debug process-related issues in advanced technology nodes, including FinFET, GAA, and backside power delivery networks (BSPDN).
Monitor and analyze foundry process data to ensure manufacturing-line health and identify and troubleshoot yield, performance, and reliability issues.
Improve product yield by optimizing processes without affecting reliability or performance.
Qualify processes that support long-term product scaling while reducing costs.
Drive qualified processes to reduce defects and sustain high-volume manufacturing at reduced automotive-grade parts-per-million levels.
Lead structured design of experiments (DOE) for yield, reliability, and process-window characterization.

Desired Qualifications

Experience collaborating with external vendors and incorporating cutting-edge processes into products is highly desired.

Category	Supply Chain
Location	Hwaseong-si
Requisition ID	256295
Type	Full-time

Job Description

<p>Tesla is looking for 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, DPPM reductions.</p>

Job Responsibilities

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 in optimizing power, performance, area, cost, etc 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 to identify and troubleshoot issues related to yield, performance, and reliability.
Improve product yield by optimizing processes without impacting reliability and performance.
Qualify processes which can create long term impact in scaling Tesla’s products while reducing costs.
Drive qualified processes in reducing defects and sustain high volume manufacturing at reduced auto grade PPM levels.
Lead structured DOE for yield, reliability and process window characterization.

Job Requirements

BS/MSEE/Ph.D. 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 in debugging process related issues impacting yield, reliability, power, performance, cost and area.
Experience is collaborating with external vendors and incorporating cutting edge processes into products is highly desired.
In-depth understanding in device physics, device level reliability, process qualification, physical failure analysis, statistical analysis.
Good background in design technology co-optimization (DTCO) for advanced nodes.
Ability to resolve ambiguity and adapt to fast paced environment.
Effective communication and ability to work with geographically distributed teams.
Expected travel is 25% of time.

About the Company

Tesla

Makes electric cars, robotaxis and grid batteries

Tesla makes electric cars and batteries that store power for homes and utilities, and it develops self-driving software and humanoid robots. In 2023, its Model Y became the first electric vehicle to rank as the world's best-selling car. Buyers order the Model 3 sedan, Model Y SUV, or Cybertruck pickup directly from Tesla instead of through dealers, and they charge on its Supercharger fast-charging network. It also sells Megapack and Powerwall batteries, runs a robotaxi service, and charges drivers a monthly fee for self-driving software that still needs their supervision. Tesla was founded in 2003, with Elon Musk as its lead early investor and a recognized co-founder, and it is based in Austin, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Austin, TX
Founded: 2003

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