Multi-disciplinary Engineering Intern

Job Description

Multi-disciplinary Engineering Intern | Skydio

The Tone:
This is an internship at Skydio, located in San Mateo, CA. Skydio stands as the leading US drone company and the world leader in autonomous flight, a critical technology shaping the future of drones and aerial mobility. The team at Skydio combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and a strong customer focus. In this crucial multi-disciplinary engineering intern role, you will play a vital part in ensuring that Skydio’s products are defect-free, consistently exceed stringent quality requirements, and function reliably for a diverse range of users, from utility inspectors to first responders and soldiers in battlefield scenarios. Your contributions will directly impact the reliability and quality of products used in critical applications.

The TL;DR
• Role: Internship
• Location: San Mateo, CA (Hybrid)
• Pay: $47–$58 hourly
• Team: Supports the Manufacturing Test Engineering team
• Mission: Design, implement, and continuously improve manufacturing test processes to ensure product quality and reliability for customers.
• Tech Stack: Python, Linux, Docker, AI tooling, PLCs, Arduino, Fusion 360

What You’ll Actually Do
• Develop Test Processes: Design, implement, and continuously improve comprehensive manufacturing test processes, ensuring they are robust and efficient for Skydio’s flagship products.
• Cross-functional Collaboration: Collaborate closely with various internal teams, including product design, quality assurance, manufacturing operations, and software development teams, to strategically enhance and optimize existing manufacturing test processes.
• Failure Analysis & Resolution: Lead detailed root cause analysis activities whenever manufacturing test failures occur, subsequently designing and implementing effective, data-driven improvements in both the software and hardware components of the test systems.
• Data-Driven Improvement: Analyze and transform raw manufacturing data into clear, actionable insights and recommendations. This work will empower the Manufacturing Test Engineering team to significantly improve overall production yield and enhance the repeatability of testing procedures.

The Must-Haves
• Background: Currently enrolled as an Undergrad, Graduate, or PhD student, with a focus on multi-disciplinary engineering or a related technical field.
• Experience: Demonstrates a strong Python coding skillset and possesses an enthusiasm for hands-on development and interaction with devices that integrate complex software and hardware components. Familiarity with Linux, Docker, and AI tooling is also expected.
• Skills: Excellent problem-solving abilities, strong organizational skills, clear communication, and the capacity for effective cross-functional teamwork are essential for success in this role.
• Bonus: Experience with industrial control systems such as PLCs, rapid prototyping platforms like Arduino, and CAD software like Fusion 360 would be considered a valuable asset.