Manufacturing Intern - Summer 2027
Skydio is hiring a Manufacturing Intern - Summer 2027. Level rates it ; you can apply on Skydio.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Claude and Databricks.
- Level classifies it as an internship.
- Level lists 166 other open roles at Skydio.
- The role was posted in the last few days.
AI in this role
Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders, soldiers in battlefield scenarios, and beyond.
About the role:
We are looking for interns for the Summer 2027 Season. The Hardware Ops - Quality team is responsible for the manufacturing quality ensuring all of Skydio’s production meets rigorous customer requirements. The quality operations the team supports enables Skydio’s autonomous drones and accessory products.. As a Quality Engineering Intern for our team, you will have the opportunity to help define and develop quality standards and practices for internal teams and/or current & future products in a collaborative, fast-paced environment.
How you'll make an impact:
Root cause and resolve quality yield and customers facing product quality concerns.
Define, Measure, and Improve our quality metrics and analytics
Evaluate the performance and reliability of our products and factory quality systems.
Work closely with other members of the various engineering teams across Skydio.
Have a strong sense of ownership and autonomy over your work.
What makes you a good fit:
A junior, senior, or MS-level student - Mechanical Engineering or Electrical Engineering
Previous Intern Experience with Solid Works, Data Analysis, etc.
An understanding of quality principles – PFMEA, DFM, DFA, stack up analysis.
Ability to clearly articulate problem statements, with root cause analysis.
Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
Strong problem-solving and analytical skills, with the ability to debug complex issues and propose effective solutions.
Experience with Databricks, SQL is a plus
Experience building with AI tools, such as Claude integrations
Compensation Range: The hourly base salary range for this position is $47/hr for Undergrad, $53/hr for Graduate students, and $70/hr for PhD students*. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience.
*For some positions the pay may be dependent upon the individual's regional location.
#LI-ZD1
At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws.
For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/
How we rate this
Manufacturing Intern - Summer 2027 at Skydio rates 22 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used Claude hands-on?
- Walk me through how you've used Databricks in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Claude and Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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