Tesla

Makes electric cars, robotaxis and grid batteries

Software Engineer - Performance Modeling, SI Hardware

Hardware EngineeringConfirmed live in the last 24 hours

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

About the Job

Requirements

A degree in Engineering, Computer Science, or a related field, or equivalent practical experience demonstrating exceptional ability.
In-depth knowledge of large language models and transformer architectures, including their training, inference processes, and optimization techniques.
Strong expertise in CPU, GPU, and/or machine-learning accelerator microarchitectures, with hands-on experience in performance characterization.
Proficiency with deep learning frameworks such as PyTorch, JAX, Pallas, or similar tools.
Robust programming skills in C/C++, Python, or other relevant languages.
A solid understanding of physical design constraints, including power, performance, and area tradeoffs in hardware development.
Demonstrated experience in performance analysis, including the use of simulation frameworks and profiling tools.

Responsibilities

Collaborate closely with system architects, microarchitects, machine-learning model designers, and compiler engineers to create highly efficient hardware designs on accelerated timelines.
Develop and validate sophisticated performance models to evaluate architecture and microarchitecture tradeoffs and guide informed decision-making.
Define comprehensive workload suites and key performance metrics to benchmark and evaluate hardware capabilities.
Analyze and assess implementations of machine-learning algorithms on Tesla SI hardware, identifying bottlenecks and opportunities for improvement.
Participate in hardware/software co-design efforts to align future hardware capabilities with evolving algorithmic demands.
Contribute to code reviews, testing, and debugging processes to maintain code quality and reliability.
Stay current with advancements in SI workloads, domain-specific languages, computer architecture, and simulation methodologies to inform strategic directions.

Category	Tesla SI
Location	Palo Alto, California
Requisition ID	273570
Type	Full-time

Job Description

<p>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. 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.  </p><p>As a key member of the Tesla SI hardware team, the SI/ML Modeling Engineer will drive the modeling, and optimization of next-generation tensor compute hardware. This role requires a deep expertise in computer architecture, and proven proficiency in performance modeling and optimization. The ideal candidate has a thorough understanding of SI workloads, and thrives in fast-paced environments, delivering elegant, high-performance solutions that push the boundaries of SI hardware efficiency. </p>

Job Responsibilities

Collaborate closely with system architects, micro architects, ML model designers, and compiler engineers to create highly efficient hardware designs on accelerated timelines
Develop and validate sophisticated performance models to evaluate architecture and microarchitecture tradeoffs, guiding informed decision-making
Define comprehensive workload suites and key performance metrics to benchmark and evaluate hardware capabilities
Analyze and assess implementations of machine learning algorithms on Tesla SI hardware, identifying bottlenecks and opportunities for improvement
Participate in hardware/software co-design efforts to align future hardware capabilities with evolving algorithmic demands
Contribute to code reviews, testing, and debugging processes to maintain exceptional code quality and reliability
Stay abreast of cutting-edge advancements in SI workloads, domain-specific languages, computer architecture, and simulation methodologies to inform strategic directions

Job Requirements

Degree in Engineering, Computer Science, or a related field, or equivalent practical experience demonstrating exceptional ability
In-depth knowledge of Large Language Models (LLMs), transformer architectures, including their training, inference processes, and optimization techniques
Strong expertise in CPU, GPU, and/or ML accelerator microarchitectures, with hands-on experience in performance characterization
Proficiency with deep learning frameworks such as PyTorch, JAX, Pallas, or similar tools
Robust programming skills in C/C++, Python, or other relevant languages
Solid understanding of physical design constraints, including power, performance, and area (PPA) tradeoffs in hardware development
Exceptional problem-solving abilities, capable of dissecting complex issues and devising innovative, practical solutions
Excellent communication and interpersonal skills, fostering effective collaboration across teams, including leadership and engineering stakeholders
Demonstrated experience in performance analysis, including the use of simulation frameworks and profiling tools

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

Recently Posted Jobs

Explore more opportunities at Tesla

See more jobs