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AI Engineer, Manipulation, Optimus

Tesla

AI Engineer, Manipulation, Optimus

Tesla

Palo Alto, California

·

On-site

·

Full-time

·

Today

What to Expect

Tesla AI is solving robust embodied intelligence through humanoid robots. Core to this is the manipulation stack, which presents a unique opportunity to work on state-of-the-art algorithms for object manipulation culminating in their deployment to real world production applications. Our robotic manipulation software engineers develop and own this stack from inception to deployment. 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

  • Design and develop our learned robotic manipulation software stack and algorithms
  • Develop robotic manipulation capabilities including but not limited to (re)grasping, pick-and-place, and more dexterous behaviors to enable useful work in both structured and unstructured environments
  • Model robotic manipulation processes to enable analysis, simulation, planning, and controls
  • Reason about uncertainty due to measurements and physical interaction with the environment, and develop algorithms that adapt well to imperfect information
  • Assist with overall software architecture design, including designing interfaces between subsystems
  • Ship production quality, safety-critical software
  • Collaborate with a team of exceptional individuals laser focused on bringing useful bi-ped humanoid robots into the real world

What You'll Bring

  • Production quality modern C++ or Python
  • Experience in deep imitation learning or reinforcement learning in realistic applications
  • Exposure to robotics learning through tactile and/or vision-based sensors
  • Experience writing both production-level Python (including Numpy and Pytorch) and modern C++
  • Proven track record of training and deploying real world neural networks
  • Familiarity with 3D computer vision and/or graphics pipelines
  • Experience with Natural Language Processing
  • Experience with distributed deep learning systems
  • Prior work in Robotics, State estimation, Visual Odometry, SLAM, Structure from Motion, 3D Reconstruction

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:

  • 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

    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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    About Tesla

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    Employees

    Ciudad De Panamá

    Headquarters

    $800B

    Valuation

    Reviews

    3.1

    5 reviews

    Work Life Balance

    1.5

    Compensation

    1.2

    Culture

    1.3

    Career

    1.8

    Management

    1.1

    15%

    Recommend to a Friend

    Pros

    Strong financial performance

    Revenue growth

    Company achieving targets

    Cons

    Poor compensation and raises below inflation

    Union-busting and anti-labor practices

    Unpaid work demands and wage theft

    Salary Ranges

    3,570 data points

    Junior/L3

    Mid/L4

    Senior/L5

    Junior/L3 · Data Annotation Specialist

    373 reports

    $49,465

    total / year

    Base

    $49,465

    Stock

    -

    Bonus

    -

    $35,995

    $67,975

    Interview Experience

    4 interviews

    Difficulty

    3.5

    / 5

    Duration

    14-28 weeks

    Experience

    Positive 0%

    Neutral 75%

    Negative 25%

    Interview Process

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    Common Questions

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts