Davita Inc.
Machine Learning Engineer, Distributed Systems, Optimus
Davita Inc., Palo Alto, California, United States, 94306
What to Expect
As a Software Engineer for the Optimus team, you will build the tools and infrastructure to make and measure improvements to neural network architecture, visualize data,
assist
with exporting and deploying neural networks to the bot, and evaluate experimental results. You will help us automate the entire workflows of training, validation, and production of the Optimus. Most importantly, you will see your work repeatedly shipped to and
utilized
by thousands of Humanoid Robots in real world applications. What You'll Do
Build and improve our Python training infrastructure for stable and faster training
Build the tooling and infrastructure for reporting and visualizing model metrics and performance
Build the pipelines to run and
validate
our
PyTorch
models
Manage, analyze, and visualize our training and test datasets
Coordinate with the team managing the hardware cluster to
maintain
high availability / jobs throughput for Machine Learning
Build and improve tooling to deploy trained neural nets to Tesla hardware
What You'll Bring
Practical experience programming in Python and/or C++
Proficient in system-level software, particularly hardware-software
interactions
and resource
utilization
Understanding of modern machine learning concepts and
state of the art
deep learning
Experience working with training frameworks, ideally
PyTorch
Demonstrated experience scaling neural network training jobs across clusters of
GPU's
Optional:
Previous
experience in deep learning deployment
Optional: Profiling and
optimizing
CPU-GPU interactions (pipelining compute/transfers,
etc
)
Compensation and Benefits
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
$124,000 - $420,000/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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As a Software Engineer for the Optimus team, you will build the tools and infrastructure to make and measure improvements to neural network architecture, visualize data,
assist
with exporting and deploying neural networks to the bot, and evaluate experimental results. You will help us automate the entire workflows of training, validation, and production of the Optimus. Most importantly, you will see your work repeatedly shipped to and
utilized
by thousands of Humanoid Robots in real world applications. What You'll Do
Build and improve our Python training infrastructure for stable and faster training
Build the tooling and infrastructure for reporting and visualizing model metrics and performance
Build the pipelines to run and
validate
our
PyTorch
models
Manage, analyze, and visualize our training and test datasets
Coordinate with the team managing the hardware cluster to
maintain
high availability / jobs throughput for Machine Learning
Build and improve tooling to deploy trained neural nets to Tesla hardware
What You'll Bring
Practical experience programming in Python and/or C++
Proficient in system-level software, particularly hardware-software
interactions
and resource
utilization
Understanding of modern machine learning concepts and
state of the art
deep learning
Experience working with training frameworks, ideally
PyTorch
Demonstrated experience scaling neural network training jobs across clusters of
GPU's
Optional:
Previous
experience in deep learning deployment
Optional: Profiling and
optimizing
CPU-GPU interactions (pipelining compute/transfers,
etc
)
Compensation and Benefits
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
$124,000 - $420,000/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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