Tesla

Makes electric cars, robotaxis and grid batteries

SoC Performance Engineer - SI Hardware

Hardware Validation & TestingConfirmed live in the last 24 hours

Full-timeAustin, TX, USANo salary listedIn-person

About the Job

Requirements

A degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent experience.
At least 3 years of industry or research experience in SoC performance verification, including subsystem and system-level testing.
Experience debugging hardware issues in simulation, emulation platforms, or post-silicon environments.
Proficiency in Python and C++ for test development, automation, and analysis.
Understanding of SoC architectures, SI accelerators, memory systems, and parallel computing principles.
Ability to resolve complex performance bottlenecks.
Ability to collaborate in fast-paced teams and communicate technical information through documentation and presentations.

Responsibilities

Develop and execute subsystem and system-level performance tests to verify SI hardware performance.
Debug performance issues in simulation, emulation, and post-silicon environments, identify root causes, and propose optimizations.
Collaborate with hardware architects, software teams, and design engineers to validate SoC architectures against machine learning workloads.
Analyze performance metrics, including throughput, latency, and power consumption, and correlate results across pre- and post-silicon stages.
Create automated test frameworks and scripts to streamline performance verification processes.
Conduct architectural explorations and trade-off analyses to guide SoC design improvements for SI acceleration.
Document findings, methodologies, and recommendations to inform cross-functional teams and future hardware roadmaps.

Desired Qualifications

Familiarity with hardware description languages such as Verilog or SystemVerilog.
Knowledge of machine learning workloads, compiler optimizations, or performance modeling tools.

Category	Tesla SI
Location	Austin, Texas
Requisition ID	261524
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.<br><br>Join Tesla’s SI Hardware team to pioneer the next generation of SI accelerators. In this role, you will focus on system-level performance verification for our custom System-on-Chip (SoC) designs, ensuring optimal performance, power efficiency, and reliability in SI workloads. The ideal candidate is an experienced SoC performance engineer with a strong background in verification and debugging, comfortable working rapidly in a small-team environment.

Job Responsibilities

Develop and execute subsystem and system-level performance tests to verify SI hardware performance
Debug performance issues in simulation, emulation, and post-silicon environments, identifying root causes and proposing optimizations
Collaborate with hardware architects, software teams, and design engineers to validate SoC architectures against machine learning workloads
Analyze performance metrics (e.g., throughput, latency, power consumption) and correlate results across pre- and post-silicon stages
Create automated test frameworks and scripts to streamline performance verification processes
Conduct architectural explorations and trade-off analyses to guide SoC design improvements for SI acceleration
Document findings, methodologies, and recommendations to inform cross-functional teams and future hardware roadmaps

Job Requirements

Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field, or equivalent experience
3+ years of industry/research experience in SoC performance verification, including subsystem and system-level testing
Proven expertise in debugging hardware issues in simulation (e.g., RTL simulators), emulation platforms (e.g., FPGA-based), or post-silicon environments
Strong proficiency in Python and C++ for test development, automation, and analysis; familiarity with hardware description languages (e.g., Verilog/SystemVerilog) is a plus
Solid understanding of SoC architectures, SI accelerators, memory systems, and parallel computing principles
Excellent problem-solving and debugging skills, with a track record of resolving complex performance bottlenecks
Ability to work collaboratively in fast-paced teams, with clear communication skills for technical documentation and presentations. Knowledge of ML workloads, compiler optimizations, or performance modeling tools is a plus

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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