Machine Learning Kernel Performance Engineer, Dojo

28 Days Old

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 Get AI-powered advice on this job and more exclusive features. What To Expect
Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now. 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 machineDesign and deliver implementations of known neural network algorithms on Dojo Hardware, for both training and inference workloadsCollaborate with architects and compiler engineers to transfer kernel designs to the Dojo compiler and production environmentWork closely with the team to drive improvements to the kernel development framework, supporting environments, and other components of the systemWork with hardware and simulations teams to ensure future hardware generations optimally satisfy algorithmic requirementsParticipate in code reviews, testing, and debugging to ensure high-quality softwareStay 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 ability3+ years of experience in kernel developmentIn depth understanding of Large Language Models (LLMs), transformer architectures, their training, inference, and optimizationStrong programming skills in languages such as C/C++ and/or PythonExperience with deep learning frameworks such as PyTorch, JAX, Pallas etc.Strong understanding of CPU and/or GPU microarchitecture, including pipelining, caching, and memory hierarchyExcellent problem-solving skills, with the ability to analyze complex problems and develop creative solutionsStrong communication and collaboration skills, with the ability to work effectively with architects, engineers, and researchersAble 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 deductionFamily-building, fertility, adoption and surrogacy benefitsDental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contributionCompany Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSAHealthcare and Dependent Care Flexible Spending Accounts (FSA)401(k) with employer match, Employee Stock Purchase Plans, and other financial benefitsCompany paid Basic Life, AD&D, short-term and long-term disability insuranceEmployee Assistance ProgramSick and Vacation time (Flex time for salary positions), and Paid HolidaysBack-up childcare and parenting support resourcesVoluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insuranceWeight Loss and Tobacco Cessation ProgramsTesla Babies programCommuter benefitsEmployee 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.
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Location:
Palo Alto, CA
Salary:
$250
Job Type:
FullTime
Category:
Engineering

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