Located in Northern California, the team at Joby Aviation is driven by our goal of creating an affordable, all-electric air transportation system. 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’ve designed and tested many generations of prototype aircraft capable of serving in a network of electric air taxis. We’re looking for talented, committed individuals to join our team as we push onwards toward certifying the Joby aircraft with the Federal Aviation Administration, scaling our manufacturing, and preparing to launch commercial service in 2025.
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 bring a strong foundational understanding of engineering first principles, an ability to quickly learn new advanced skills, and strength work both independently and collaboratively. Significant experience in Python and Matlab, graduate-level standing, and knowledge of electric powertrain systems or components desired.
Responsibilities
- Develop and validate battery, motor, inverter, and/or other hardware models.
- Prototype algorithms for estimating hardware state, hardware state of health, available vehicle range, etc.
- 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)
- Strong understanding of the fundamentals of ODEs, electrical circuits, heat transfer, and dynamic systems.
- Experience modeling and analyzing dynamic systems (mechanical, electrical, and / or thermal)
- Proficient in MATLAB, Simulink, and Python
- 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.
- Knowledge of optimization algorithms and experience applying them to problems.
- Knowledge of version control software (e.g. Git) and experience working on collaborative software projects.
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 $20-32/hr. The pay range for graduate interns with a Bachelor, Master, and/or Ph.D. degree is $5,400-$7,500/month. Individual pay is determined by internship role, department, experience, job-related skills, and level of education.
EEO
Joby is an Equal Opportunity Employer.
