Sr. Machine Learning Infrastructure Engineer, Optimus

  • Palo Alto, CA
  • Posted 60+ days ago | Updated 11 hours ago

Overview

On Site
USD 124,000.00 per year
Full Time

Skills

Workflow
Robotics
Reporting
Management
High Availability
Python
C++
Computer Hardware
Machine Learning (ML)
Art
PyTorch
Neural Network
Training
Deep Learning
CPU
GPU
PPO
Payroll
Health Care
FSA
Finance
Apache Flex
Legal
Insurance

Job Details

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.

Responsibilities
  • 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

Requirements
  • 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 - $336,000/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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.