Tesla

Makes electric cars, robotaxis and grid batteries

SOC Characterization Engineer - SI Hardware

Hardware Validation & TestingConfirmed live in the last 24 hours

Full-timeNo salary listedIn-person

About the Job

Requirements

A degree in Electrical Engineering, Computer Science, or a related field, or equivalent experience.
5–10 years of related experience in characterization of processor cores on a system-on-chip, such as CPU, GPU, or neural processors.
Expertise in bringing up processor stress tests in collaboration with cross-functional teams.
Experience measuring Vmin and power on systems and ATE.
Experience in volume data processing, statistical data analysis, and scripting for automation.
A good understanding of the various effects that limit Vmin performance.

Responsibilities

Own silicon efforts to optimize operating points of each process core within the system-on-chip for power, performance, quality, and yield.
Define characterization plans for each processor core within the system-on-chip.
Develop performance stress tests for different processor cores as part of new product introduction.
Perform and correlate measurements across ATE and SLT over volume, and define guard bands.
Drive corrective actions to improve correlation between test platforms.
Develop solutions to set optimal system operating voltage and frequency points.
Ensure alignment of operating points from manufacturing screen to system operation.

Category	Tesla SI
Location	Palo Alto, California
Requisition ID	260455
Type	Full-time

Job Description

The Tesla SI Hardware team is at the forefront of revolutionizing artificial intelligence through cutting-edge hardware innovation. Comprising brilliant engineers and visionaries, the team designs and develops advanced SI inference chips tailored to accelerate Tesla’s machine learning capabilities. A key part of this effort is Dojo, Tesla's custom supercomputer system built to efficiently train massive neural networks on vast video data from the fleet. The work of Tesla's SI Hardware team powers the neural networks behind Full Self-Driving (FSD), and Tesla humanoid robot, Optimus, pushing the boundaries of computational efficiency and performance. By creating custom silicon and optimized architectures, the team ensures Tesla remains a leader in SI-driven automotive and energy solutions, shaping a future where intelligent machines enhance human life.Candidate in this role will own silicon efforts to optimize operating points of each process core within the SOC for Power, Performance, Quality & Yield.We are open to hiring in Austin, TX; Palo Alto, CA.

Job Responsibilities

Define characterization plans for each processor core within the SOC
NPI development of performance stress tests for different processor cores
Perform & correlate measurements across ATE & SLT over volume, define guard bands
Drive corrective actions to improve correlation between test platforms
Develop innovative solutions to set optimal system operating voltage/frequency points
Ensure alignment of operating points from manufacturing screen to system operation

Job Requirements

Degree in Electrical Engineering, Computer Science or related fields, or equivalent experience
5-10 years of related experience in characterization of various processor cores on SOC such as CPU, GPU, Neural Processors
Expertise in bring-up of processor stress tests in collaboration with cross functional teams
Experience in measuring Vmin/power on System and ATE
Experience in volume data processing, statistical data analysis, scripting for automation
Good understanding various effects that limit Vmin performance

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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