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Powertrain Modeling And Algorithms Intern (summer 2026)

Develop and validate models for electric vehicle hardware components and algorithms
San Francisco Bay Area
Internship
$5,500 – 8,200 USD / month
yesterday
Joby Aviation

Joby Aviation

Develops electric vertical takeoff and landing aircraft for urban air mobility, aiming to provide fast, quiet, zero-operating-emission aerial ridesharing.

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Joby Aviation Internship

Imagine a piloted air taxi that takes off vertically, then quietly carries you and your fellow passengers over the congested city streets below, enabling you to spend more time with the people and places that matter most. Since 2009, our team has worked steadily to make this dream a reality. We're looking for talented, committed individuals to join our team as we push onward toward certifying the Joby aircraft, scaling our manufacturing, and launching our initial commercial service.

Overview

Joby Aviation is seeking passionate and driven interns to join our powertrain modeling and algorithms team. Our team develops model-based algorithms for critical flight applications (e.g. range prediction), as well as model-based optimization methods for vehicle hardware architecture. In your role on our team, you'll develop and validate models, design and test algorithms, support system level analyses and optimizations, and build and deploy related tools. It requires you to bring a strong foundational understanding of engineering first principles, an ability to quickly learn new advanced skills, and work both independently and collaboratively.

Responsibilities

Develop and validate battery, motor, inverter, and/or other hardware models

Prototype algorithms for estimating hardware state and hardware state of health using field data

Design and support hardware test plans for informing models and algorithms

Perform system-level sensitivity analyses and support trade studies to guide future hardware development

Build and deploy modeling, analysis, and optimization tools

Required

Has completed or is pursuing a Bachelor of Science in Aerospace, Mechanical, or Electrical Engineering (or equivalent)

Heading into junior or senior year of undergraduate degree or above (at time of internship)

Available Summer 2026

Strong understanding of the fundamentals of ODEs and numerical methods

Experience modeling and analyzing dynamic systems (mechanical, electrical, and / or thermal)

Proficient in Python and/or MATLAB

Self-motivated and able to work independently (you'll be expected to complete many technical tasks with limited oversight)

Strong collaborator and effective communicator (cross-team collaborations and relationships are critical to our success)

Desired

Has completed or is pursuing a graduate degree in engineering

Experience designing and analyzing controllers and observers of dynamic systems

Expertise in lithium-ion batteries, electric motors, inverters, or similar, and knowledge of common modeling methods

Ability to write differentiable programs and familiarity with automatic differentiation tools (CasADi, JAX, etc.)

Knowledge of optimization algorithms and sensitivity analysis methods

Knowledge of version control software (e.g. Git) and experience working on collaborative software projects

Additional Information

Relocation Assistance: This position does not offer relocation assistance. Candidates must live in the immediate area or relocate at their own expense.

The pay range for undergraduate interns, which includes freshman to senior level students, is $23-$33/hr. The pay range for graduate interns with a Bachelor, Master, and/or Ph.D. degree is $5,500-$8,200/month. Individual pay is determined by internship role, department, experience, job-related skills, and level of education.

Joby is an Equal Opportunity Employer.

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Powertrain Modeling And Algorithms Intern (summer 2026)
San Francisco Bay Area
$5,500 – 8,200 USD / month
Intern
About Joby Aviation
Develops electric vertical takeoff and landing aircraft for urban air mobility, aiming to provide fast, quiet, zero-operating-emission aerial ridesharing.