Modeling and Simulation - Flight Dynamics Engineer at JOBY AERO INC

Santa Cruz, California, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Jan, 26

Salary

144000.0

Posted On

21 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Mechanical Engineering, Aerospace Engineering, Problem-Solving, Software Debugging, Communication Skills, Python, MATLAB, Simulink, Configuration Control, Aircraft Aerodynamics, Rotorcraft Aerodynamics, Stability, Control Derivatives, Data Processing Techniques, Wind Tunnel Testing, Simulation Models

Industry

Airlines and Aviation

Description

Joby Overview 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 onward toward certifying the Joby aircraft, scaling our manufacturing, and launching our initial commercial service. Overview Joby Aviation is leading the industry by introducing a revolutionary urban air mobility aircraft featuring the innovative all-electric vertical takeoff and landing (eVTOL) JAS4-1 air vehicle. The Modeling and Simulation (M&S) team seeks a highly motivated engineer to help deliver the JAS4-1 vehicle to the marketplace. This role requires a willingness to learn and develop a range of knowledge and skills that include executing tests in a flight simulator environment, post-flight analysis, comparison of experimental data to models, and all other tasks related to the development and validation of models for an eVTOL. Responsibilities Support verification and validation activities that rely on the model outputs Support models development for real-time simulation, performance predictions, and various analyses Develop and improve the software methods behind the modeling tools and workflows Document models’ correlation and validation against experimental data Work closely with other engineers/teams to determine the required model accuracy Collaborate with test pilots to improve the model fidelity based on feedback from simulator sessions Required B.S. in mechanical engineering, aerospace engineering, or a relevant discipline 5-7 years of industry experience or advanced degree (PhD/MS/MEng) in related discipline and 2+ yrs industry experience Excellent problem-solving, software debugging, and communication skills Experience with Python, MATLAB, and Simulink Experience with configuration control and management of models Strong understanding of aircraft and rotorcraft aerodynamics, stability, andcontrol derivatives Ability to work in groups and individually Desired Familiarity with developing and validating 6 degree of freedom (6DOF) nonlinear simulations for aircraft Experience with data processing techniques applied to experimental data, such as data reduction, Kalman filtering/smoothing, etc. Understanding of regression and system identification methods Previous experience in conducting wind tunnel tests and analyzing results to improve and validate simulation models Previous experience working on an aviation certification program Compensation at Joby is a combination of base pay and Restricted Stock Units (RSUs). The target base pay for this position is $108,000 - $144,000/yr. The compensation package will be determined by job-related knowledge, skills, and experience. Joby also offers a comprehensive benefits package, including paid time off, healthcare benefits, a 401(k) plan with a company match, an employee stock purchase plan (ESPP), short-term and long-term disability coverage, life insurance, and more. Additional Information Joby Aviation is an equal opportunity employer.

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Responsibilities

Support verification and validation activities that rely on model outputs and develop models for real-time simulation and performance predictions. Collaborate with test pilots to improve model fidelity based on feedback from simulator sessions.