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Perception Software Engineering Intern Summer 2026

Wing Palo Alto, CA, US

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$122k - $128k · Senior Full-time Posted 25 days ago 4 min read

About Wing:

Wing offers drone delivery as a safe, fast, and sustainable solution for last mile logistics. Consumer appetites for on-demand services are increasing, but current delivery methods are inefficient, costly, and contribute to road accidents and air pollution. Wing's fleet of highly automated delivery drones can transport small packages directly from businesses to homes on-demand, in minutes. We design, build, and operate our aircraft, and offer drone delivery services on two continents. Our technology is designed to be easy to integrate into existing delivery and logistics networks, offering a scalable drone delivery solution for a broad range of businesses. Wing is a part of Google's parent company, Alphabet, and our mission is to create the preferred means of delivery for the planet. If you're ready to do the greatest work of your life, come join us.

About the Program:

Join Wing's 12-week paid summer internship! This is a hybrid, in-person program based in Palo Alto, CA, with start dates in May or June. Eligible candidates must be a current student enrolled in a degree program and intend to return to the program after the completion of the summer internship.

About the Role:

Wing is looking for a Perception Software Engineering Intern to join our Perception Team based in Palo Alto, CA.

The Perception team designs and implements the computer vision and machine learning algorithms that allow our autonomous aircraft to understand the world around them and navigate obstacles safely. Our team members work closely with other engineers specializing in aerodynamics and propulsion, machine learning, and embedded software to build a robust and reliable perception system for drone delivery.

The Perception team designs, implements, and supports the full stack of perception technology for our autonomous aircraft. This includes core computer vision and machine learning algorithms (like object detection, ML-based depth estimation, and stereo calibration) and the critical infrastructure that enables their development, validation, and performance. Our team works closely with engineers in embedded software, GNC (guidance, navigation, and control), motion planning, and simulation.

What You'll Need:

Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, or related field, graduating between December 2026 and August 2027
Strong examples of hands-on engineering and/or experience from prior work experience, university programs, internships, or student organizations
Proficiency in C++ and/or Python
Solid understanding of fundamental concepts in computer science (e.g., data structures, algorithms)
Coursework or project experience in at least one of the following: computer vision, machine learning, or robotics
Experience with deep learning frameworks (e.g., TensorFlow, PyTorch), familiarity with computer vision libraries (e.g., OpenCV), and/or hands-on experience with robotics projects (e.g., ROS) or working with real-time embedded devices

This is your chance to:

Design, implement, and validate perception algorithms for production drone delivery operations.
Analyze and benchmark the performance of perception algorithms, identifying bottlenecks, and proposing areas for improvement.
Work with large-scale datasets from our fleet to train, validate, and improve perception models.Collaborate with full-time engineers to integrate your contributions into our production systems.Present your project progress, findings, and results to the wider organization.

Wing is an equal opportunity employer and it is Wing's policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. Employment at Wing is based solely on a person's merit and qualifications directly related to professional competence. Wing does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law.

If you have a need that requires accommodation during the interview process due to a disability or special need, please let us know by completing our Candidate Accommodations Request Form.

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