Machine Learning Kernel Performance Engineer, Dojo

Machine Learning Kernel Performance Engineer, Dojo

Join to apply for the Machine Learning Kernel Performance Engineer, Dojo role at Tesla

Machine Learning Kernel Performance Engineer, Dojo

Join to apply for the Machine Learning Kernel Performance Engineer, Dojo role at Tesla

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What To Expect
As a member of the Dojo Machine Learning software team, you will be responsible for developing and optimizing machine learning kernels to run on a massively parallel machine. The ideal candidate will have a strong background in kernel development and performance optimization for AI workloads, with a passion for delivering high-performance implementations, which are simple to use.
What You'll Do

Develop and validate datapath kernels on a massively parallel machine

Design and deliver implementations of known neural network algorithms on Dojo Hardware, for both training and inference workloads

Collaborate with architects and compiler engineers to transfer kernel designs to the Dojo compiler and production environment

Work closely with the team to drive improvements to the kernel development framework, supporting environments, and other components of the system

Work with hardware and simulations teams to ensure future hardware generations optimally satisfy algorithmic requirements

Participate in code reviews, testing, and debugging to ensure high-quality software

Stay up to date with the latest developments in AI workloads, domain-specific languages, computer architecture, and simulation techniques

What You'll Bring

Degree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional ability

3+ years of experience in kernel development

In depth understanding of Large Language Models (LLMs), transformer architectures, their training, inference, and optimization

Strong programming skills in languages such as C/C++ and/or Python

Experience with deep learning frameworks such as PyTorch, JAX, Pallas etc.

Strong understanding of CPU and/or GPU microarchitecture, including pipelining, caching, and memory hierarchy

Excellent problem-solving skills, with the ability to analyze complex problems and develop creative solutions

Strong communication and collaboration skills, with the ability to work effectively with architects, engineers, and researchers

Able to work from Tesla’s Palo Alto office

Benefits
Compensation and Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction

Family-building, fertility, adoption and surrogacy benefits

Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution

Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA

Healthcare and Dependent Care Flexible Spending Accounts (FSA)

401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits

Company paid Basic Life, AD&D, short-term and long-term disability insurance

Employee Assistance Program

Sick and Vacation time (Flex time for salary positions), and Paid Holidays

Back-up childcare and parenting support resources

Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance

Weight Loss and Tobacco Cessation Programs

Tesla Babies program

Commuter benefits

Employee discounts and perks program

Expected Compensation
$132,000 - $390,000/annual salary + cash and stock awards + benefits
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
, Tesla

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Motor Vehicle Manufacturing, Renewable Energy Semiconductor Manufacturing, and Utilities

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