Simulation Engineer Intern, Summer 2027 - Drone Autonomy

wing; Palo Alto (CA); Hybrid; USD 128,000 - 135,000; Full time

Job summary

Wing is looking for a Simulation Engineer Intern to join our Simulation & Evaluation Team based in Palo Alto, CA. Our team develops tools to enable engineers to develop, test and deploy features efficiently across vehicle physics, sensor modeling, and ML technologies.

The successful candidate will demonstrate software development, system modeling and simulation, 3D geometry, and RL techniques, collaborating across Simulation, Perception and GNC to tackle open-ended engineering problems.

Qualifications

• Currently pursuing a Bachelor's, Master's or PhD degree in Aerospace Engineering, Mechanical Engineering, Computer Science, Computer Vision, Robotics, Electrical Engineering or related field, graduating between December 2027 and August 2028.
• Strong examples of previous engineering experience from past internships and/or academic or extracurricular projects.
• Strong grasp of dynamical systems, linear algebra, 3D geometry, and vision-based autonomy.
• Experience with C++ and/or Python.
• Experience with using numerical or statistics libraries to analyze real-world data.

Responsibilities

• Explore new and creative ways to use real-world flight data to validate flight software.
• Build closed-loop simulation environments using real flight telemetry for counterfactual rollouts and RL-based policy evaluation.
• Leverage large-scale simulation and data pipelines to run critical experiments and derive actionable engineering insights.
• Contribute to a team committed to mentorship and growth, accelerating safe and scalable feature development.

Skills

C++

Python

3D geometry

Vision-based autonomy

Dynamical systems

Linear algebra

Education

Bachelor's, Master's or PhD in relevant field

Tools

numpy

scipy

pandas

Matlab / R

Job description

Wing is looking for a Simulation Engineer Intern to join our Simulation & Evaluation Team based in Palo Alto, CA. Our team develops tools to enable engineers to develop, test and deploy features efficiently across vehicle physics, sensor modeling, and ML technologies.

The successful candidate will demonstrate software development, system modeling and simulation, 3D geometry, and RL techniques, collaborating across Simulation, Perception and GNC to tackle open-ended engineering problems.