Process Engineering Intern - Summer 2027
Skydio is hiring a Process Engineering Intern - Summer 2027 for a remote role open to applicants in United States. Level rates it ; you can apply on Level.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- This is listed as a remote role.
- The posting mentions lean manufacturing, process engineering and manufacturing operations among its tools and skills.
- Skydio has 159 other open roles on Level.
- This posting went up within the past week.
AI in this role
Process Engineering Intern supporting manufacturing processes, continuous improvement, and production efficiency for autonomous drone systems.
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 seeking a motivated and hands-on Process Engineering Intern to support the development, implementation, and continuous improvement of manufacturing processes for our current and next generation of autonomous products. In this role, you will work alongside experienced engineers to improve production efficiency, optimize manufacturing processes, and support new product introductions. Your contributions will help drive quality, productivity, and operational scalability across our manufacturing operations.
How you'll make an impact:
Support the development and continuous improvement of manufacturing processes to improve production efficiency, quality, and operator ergonomics.
Conduct time studies and analyze manufacturing cycle times to identify bottlenecks, reduce waste, and improve labor efficiency.
Assist in developing and maintaining standard work instructions, process documentation, and visual manufacturing aids.
Support production capacity studies, line balancing, and labor modeling to identify opportunities for throughput improvements.
Collaborate with Manufacturing Engineering, Quality, Production, and Supply Chain teams to support new product introductions (NPI) and production ramp activities.
Analyze production performance data, including cycle times, downtime, and Overall Equipment Effectiveness (OEE), to identify improvement opportunities.
Assist with production line layouts, workstation design, and material flow improvements to optimize space utilization and manufacturing efficiency.
Participate in Lean Manufacturing and continuous improvement initiatives, including root cause analysis, waste reduction, and process standardization.
Support engineering projects from planning through implementation, including data collection, process trials, and validation of improvements.
Work directly with production operators and technicians to troubleshoot manufacturing challenges and implement practical solutions.
What makes you a good fit:
Currently pursuing a bachelor's or master's degree in Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, or a related technical field.
Basic understanding of manufacturing processes, industrial engineering principles, and continuous improvement methodologies.
Familiarity with time study techniques, predetermined motion time systems such as MOST or MODAPTS, or work measurement principles is a plus.
Strong analytical and problem-solving skills with the ability to collect, organize, and interpret data.
Proficiency with Microsoft Excel or similar data analysis tools; experience with Python, SQL, or Power BI is a plus.
Familiarity with Lean Manufacturing concepts, standard work, line balancing, or capacity analysis is a plus.
Experience with CAD software such as AutoCAD, Fusion 360, or SolidWorks is a plus.
Strong organizational skills and the ability to manage multiple tasks and projects in a fast-paced environment.
Excellent communication and teamwork skills with an eagerness to learn from engineers, technicians, and production operators.
Enthusiasm for hands-on engineering, manufacturing operations, and developing creative solutions to real-world challenges.
Compensation Range: The hourly rate for this position is $41/hr for Undergrad, $47/hr for Graduate students, and $53/hr for PhD students*. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Interns are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company’s policies and eligibility criteria.*Compensation for certain positions may vary based on the position’s 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
Process Engineering Intern - Summer 2027 at Skydio rates 0 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. Open the description and count.
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
- Tell me about a project where lean manufacturing was part of your work. What did you do?
- Tell me about a project where process engineering was part of your work. What did you do?
- Tell me about a project where manufacturing operations was part of your work. What did you do?
- Tell me about a project where continuous improvement was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Lean Manufacturing, Process Engineering, Manufacturing Operations, Continuous Improvement, and Data Analysis. 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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