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Internship, Robotics Modeling & Simulation Engineer, Optimus (Summer 2026)

Tesla

Internship, Robotics Modeling & Simulation Engineer, Optimus (Summer 2026)

Tesla

Palo Alto, California

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On-site

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Internship

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Today

What To Expect
This position is expected to start May 2026 and continue through summer term (ending approximately August 2026 or later, if available). We ask for a minimum of 12 weeks, full-time (40 hours/week) and on-site, for most internships. Our internship program is for students who are actively enrolled in an academic program. Recent graduates seeking employment after graduation and not returning to school should apply for full-time positions, not internships.

International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. You must be able to work 40 hours per week on-site. Many students will be limited to part-time during the academic year.

The Internship Recruiting Team is driven by the passion to recognize and develop emerging talent. Our year-round program places the best students in positions where they will grow technically, professionally, and personally through their experience working closely with their Manager, Mentor, and team. We are dedicated to providing an experience that allows the intern to experience life at Tesla by including them in projects that are critical to their team’s success.

What You'll Do

  • Work on the architecture and controls for per-joint level systems
  • Robot modelling architecture
  • Simulator computation efficiency improvement for CPU/GPU architectures
  • Abstraction and conversion of joint mechanisms into rigid body trees
  • Accurate modeling of kinematic chains
  • Conceptual design of biped robots
  • Physics/model representations of joints, limbs
  • Testing of reinforcement learning control policies (simulation and real)
  • Measurement and matching of model and simulation
  • Design and support of new mechanism


  • What You'll Bring

  • Currently pursuing a degree in Robotics, Electrical Engineering, Mechatronics, Computer Science, or a related field
  • Experience with controls system development, modeling, and implementation
  • Background in linear systems analysis, stability, and controller design
  • Experience, understanding, and intuition for the physics of basic electric propulsion, motion control systems, and heat transfer
  • Knowledge in control systems including, spring loaded inverted pendulum, zero momentum control, model predictive control, Motor controls, etc. Modeling knowledge in inverse kinematics, inverse/forward dynamics, impedance control, torque control, etc.
  • Knowledge in control systems including spring loaded inverted pendulum, Zero Momentum Control, Model Predictive Control, Motor controls, etc.
  • Modeling knowledge in inverse kinematics, inverse/forward dynamics, impedance control, torque control, etc. Fluent with spatial vector arithmetic
  • Basic design of electric motors & power electronics & control circuits
  • Familiar with gear reduction mechanisms including Planetary, Belt drives, Harmonics Drives, Magnetic Gears, etc.
  • Excellent skills in Python and C++, Matlab/Simulink
  • Experience coding in a collaborative environment (GitHub)
  • Bonus: skills in CAD (CATIA, NX, Inventor, Solid Works, etc.)


  • Benefits
    Compensation and Benefits
    As a full-time Tesla Intern, you will be eligible for:
  • Medical plans > plan options with $0 payroll deduction
  • Family-building, fertility, adoption and surrogacy benefits
  • Dental (including orthodontic coverage) and vision plans. Both have an option with a $0 payroll contribution
  • Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Medical Plan with HSA
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • 401(k), Employee Stock Purchase Plans, and other financial benefits
  • Company Paid Basic Life, AD&D, and short-term disability insurance (90 day waiting period)
  • 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
  • Commuter benefits
  • Employee discounts and perks program


  • Expected Compensation

    $20.00 - $55.00/hour + 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 · Production Associate

    1,043 reports

    $44,519

    total / year

    Base

    $44,519

    Stock

    -

    Bonus

    -

    $36,025

    $55,017

    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