AI Systems Engineer, Tooling & Infrastructure, Optimus

Tesla Motors
Palo Alto, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 176K

Job location

Palo Alto, United States of America

Tech stack

API
Artificial Neural Networks
Computer Programming
Data Integration
Monitoring of Systems
Python
Machine Learning
NumPy
PyTorch
System Availability
Deep Learning
Kubernetes
Infrastructure Automation Frameworks
Slurm
Machine Learning Operations

Job description

As a Software Engineer for the Optimus team, you will build the tools and infrastructure to make and measure improvements to neural network architecture by building and automating scalable data and inference pipelines, ensuring data quality by building visualizing tools. We are building a Machine Learning Platform that automates the collection, processing, and evaluation of data, reducing manual overhead and accelerating the entire ML lifecycle. We are seeking an experienced engineer to build this automation platform that translates research breakthroughs into robotic intelligence at scale. The systems you create will drive continuous data integration, automated evaluation, and rapid deployment-impacting how thousands of Humanoid Robots perceive and act in the real world every day. What You'll Do

  • Automate data, inference, and auto-labeling pipelines

  • Build the tooling and infrastructure for reporting and visualizing model metrics and performance

  • Manage, analyze, and validate our training and test datasets

  • Coordinate with the team managing the hardware cluster to maintain high availability / jobs throughput for Machine Learning

  • Drive implementation of best practices and monitoring systems to proactively detect and address issues in our production environment

  • Build and improve our Python training infrastructure for stable and faster training and validate our PyTorch models

Requirements

  • Strong programming experience in Python and vectorization APIs such as numpy

  • Experience with distributed compute systems (k8s, Slurm, LSF, etc.) or experience with large datasets / data workflows

  • Experience working in a team environment

  • It would be a plus if you have experience in training deep learning models and designing and deploying automation systems for machine learning workflows

Benefits & conditions

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

  • Medical plans > 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 Accounts) HSA Contribution when enrolled in the High-Deductible 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 (90 day waiting period)
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly 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 $176,000 - $420,000/annual salary + cash and stock awards + benefits

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