Tesla

Makes electric cars, robotaxis and grid batteries

Supplier Industrialization Engineer - Memory

Quality EngineeringConfirmed live in the last 24 hours

Full-timePalo Alto, CA, USANo salary listedIn-person

About the Job

Requirements

A degree or equivalent experience, with a minimum of 10 years of experience in process development, memory debug, memory qualification, reliability improvements, or related areas.
A strong background in optimizing processes for memory-related components.
Hands-on experience debugging system-related issues that affect yield, power, and performance.
In-depth understanding of device physics, device-level reliability, process qualification, physical failure analysis, and statistical analysis.
Ability to resolve ambiguity and adapt to a fast-paced environment.
Effective communication and ability to work with geographically distributed teams.

Responsibilities

Collaborate with cross-functional teams to optimize power, performance, area, and cost for memory components, including HBM, DRAM, and UFS.
Evaluate the latest memory technologies and implement best-known methods in Tesla products.
Improve system yield by debugging memory-related problems in collaboration with cross-functional teams.
Qualify vendors who can have a long-term impact on scaling Tesla products while reducing costs.
Drive qualified vendors to reduce defects and sustain high-volume manufacturing at reduced PPM levels.

Desired Qualifications

Experience collaborating with external vendors and enabling new memory technologies is highly desired.
A good background in SoC/memory interaction and memory/board interaction is desired.

Category	Supply Chain
Location	PALO ALTO, California
Requisition ID	284430
Type	Full-time

Job Description

<p>Tesla’s supply chain team is looking for a supplier Industrialization Engineer for memory components. In this highly visible role, you will work with cross functional teams to enable advanced memory for Tesla’s computing needs. You will be involved in system optimization related to memory, quality improvement, vendor qualification, reliability qualifications, cost reductions, etc.</p>

Job Responsibilities

Collaborate with cross functional teams in optimizing power, performance, area, cost, etc. for memory components including HBM, DRAM, UFS, etc.
Evaluate latest memory technologies and implement best known methods into Tesla’s products
Improve system yield by debugging problems related to memory through cross functional collaboration
Qualify vendors who can create long term impact in scaling Tesla’s products while reducing costs
Drive qualified vendors in reducing defects and sustain high volume manufacturing at reduced PPM levels

Job Requirements

Degree with minimum 10 years of experience in process development, memory debug, memory qualification, reliability improvements, etc. or equivalent experience
Strong background in optimizing processes for memory related components
Hands on experience in debugging the system related issues impacting yield, power, performance, etc.
Experience is collaborating with external vendors and enabling new memory technologies is highly desired
In-depth understanding in device physics, device level reliability, process qualification, physical failure analysis, statistical analysis
Good background in SOC/memory interaction, memory/board interaction is desired
Ability to resolve ambiguity and adapt to fast paced environment
Effective communication and ability to work with geographically distributed teams

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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