Software Engineering InternAdvance Auto Parts • Raleigh, North Carolina, United States

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Software Engineering Intern

Advance Auto Parts

Raleigh, North Carolina, United States

Raleigh, North Carolina, United States

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Über

Job Description Schedule - 34.5 hours a week, Monday - Friday // May 26 - July 31, 2026 Location: Raleigh, NC Application Deadline: Sunday, March 1, 2026, at 11:59PM EST Advance Auto Parts is more than just an auto parts store - we're a recognized leader in the automotive aftermarket industry. As part of our commitment to innovation and growth, we're excited to welcome a new cohort of interns to join our team. This 10-week paid internship offers students the opportunity to gain hands-on experience across various areas of our business. The program begins with a comprehensive orientation week, where interns will learn about our company's history, values, and culture, while connecting with team members across the organization. Each intern will be paired with a dedicated mentor to provide guidance and support throughout the program. Interns will then transition into their assigned functional teams, where they'll actively contribute to meaningful projects aligned with key business initiatives. This is not a job shadowing experience - it's a chance to make a real impact, collaborate with professionals, and immerse yourself in our dynamic workplace. The program fosters a fun, team-oriented environment, encouraging strong peer relationships and professional development. At the conclusion of the internship, participants will present their project outcomes and proposed solutions to senior leaders, offering valuable exposure to executive-level decision-making. Advance Auto Parts is proud to champion diversity and community engagement. But don't just take our word for it - apply today and experience it for yourself. Summary We're seeking an exceptional engineer to design and build a next-generation AI-powered reservation engine leveraging constraint programming principle. This system will intelligently optimize resource allocation, handle complex booking scenarios, and deliver superior user experiences through advanced algorithmic decision-making. General Job Responsibilities
Assist with design and implementation of a scalable reservation engine using constraint satisfaction problem (CSP) solvers and optimization algorithms Develop AI models that learn from booking patterns, user preferences, and business rules to make intelligent allocation decisions. Build constraint-based systems that handle complex scenarios like overbooking prevention, resource conflicts, and multi-dimensional availability. Implement real-time optimization that balances competing constraints (availability, preferences, business rules, fairness) Collaborate with product and engineering teams to translate business requirements into constraint models and optimization objectives Assist in engineering high-performance systems capable of handling thousands of simultaneous reservation requests with sub-second response times Attend meetings and contribute ideas to ongoing projects. Qualifications
Currently pursuing a degree in Computer Science Rising or Current Senior at the time of application (Expected Graduation between December 2026 - May 2027). Highly motivated/ driven. Takes a proactive approach to assignments with the ability to work independently. Can successfully navigate through ambiguity by asking questions, thinking critically, and using problem-solving skills. Excellent communication skills with the ability to work across different teams and functions. Outstanding written skills - Ability to concisely document complex processes and concepts, through process maps and report writing. Strong excel skills; a passion for learning systems and performing data analytics is a plus. Well-developed organizational skills with the ability to prioritize multiple tasks and meet deadlines. Strong Microsoft Word, Excel, PowerPoint skills. What You'll Gain
Real-world experience in the retail industry. Mentorship and networking opportunities. Exposure to problem solving at scale using constraint programming frameworks Potential for future employment opportunities.
This position is located in Raleigh, NC. The program dates are May 26, 2026 - July 31, 2026. Application Deadline: Sunday, March 1, 2026, at 11:59PM EST Applicants must be legally authorized to work in the United States for ANY employer. This position is ineligible for employment visa sponsorship. This includes initial or change of employer filings of any kind, including but not limited to H-1B, TN, or E-3. #LI-KW1 California Residents click below for Privacy Notice:

Raleigh, North Carolina, United States

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English

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