Engineering Intern

Capgemini • Santa Clara, CA

39d • Onsite

About The Position

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous vehicles to life saving robots, our digital and software technology experts deliver unique R&D and engineering services across industries. Join us for a career full of opportunities—where you can make a difference and no two days are the same.We are seeking a motivated Engineering Intern to join our team onsite in Santa Clara, CA, with daily collaboration with remote teams across the US and Europe.As an intern, you will work closely with experienced engineers supporting initiatives related to data acquisition, tool automation, and internal engineering productivity. This is an excellent opportunity for students looking to apply classroom concepts in a practical, fast paced environment while gaining exposure to real world engineering workflows. Proactivity in identifying issues and contributing to solutions is highly valued.

Requirements

• Currently pursuing a bachelor’s degree in one of the following disciplines: Computer Science, Computer Engineering, Engineering, Mathematics or a closely related engineering or technical discipline
• Strong analytical mindset with an interest in data driven decision making
• Proficiency in Python, AI assisted development tools (e.g., GitHub Copilot, Claude Code), and Microsoft Excel
• Understanding of common data formats such as JSON
• Self motivated with strong communication skills and a willingness to learn in a team based environment
• Demonstrates system level thinking, reliability, ownership, collaboration with international teams, and problem solving skills

Nice To Haves

• Data Formats & Quality: Exposure to automotive specific data formats and experience performing data quality checks (e.g., ADAS / AD sensor data)
• Network & Security: Familiarity with basic networking concepts, encryption, and security standards for data transmission
• Cloud Platforms: Exposure to cloud services such as Azure, AWS, or GCP for data processing and storage

Responsibilities

• Support engineering teams with data collection, analysis, and reporting
• Help automate manual or repetitive processes using Python and AI assisted development tools
• Assist in building and maintaining dashboards to track operational, quality, or performance metrics
• Participate in process improvement initiatives, including workflow analysis and efficiency improvements
• Collaborate with cross functional teams including operations, quality, planning, and engineering
• Document processes, tools, and findings to support knowledge sharing and continuous improvement

Benefits

• Hands on experience working with distributed engineering teams in a fast paced environment
• Exposure to real operational data, tools, and engineering decision making processes
• Mentorship from experienced engineers and industry professionals
• Practical experience with automation, dashboarding, and analytics
• A strong foundation for future careers in engineering and the effective integration of AI assisted development tools
• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Career Level: Intern