Engineering-Driven Customer Ops Intern (PCX Lab)

DIRECTV; Cheyenne (WY); Hybrid; USD 34,000 - 47,000; Full time

Job summary

DIRECTV is offering a summer internship in the Customer Operations organization, working with the Engineering team on the PCX Lab in El Segundo, CA. The role is hybrid, requiring 3 days per week in the LA area, with a strong emphasis on hands-on software work and cross-functional collaboration.

The program targets students in Engineering, CS, or Math, with solid technical knowledge, coding experience, and the ability to thrive in a remote or hybrid setting. AI/vision exposure is a plus.

Qualifications

• Undergraduate or graduate students majoring in Engineering, Computer Science, or Mathematics.
• Ability to learn new tools quickly and work across domains.
• Strong technical acumen with analytical problem-solving skills.
• Familiarity with DIRECTV products and services.
• Engineering-focused mindset with attention to detail and innovation.
• Coding experience across a broad range of programming languages.
• Demonstrated ability to succeed in a virtual or remote environment.
• Comfortable presenting ideas and engaging with leadership.
• Exposure to AI technologies, especially computer vision, is a strong plus.

Responsibilities

• Implementing software updates and feature enhancements.
• Identify and research issues through various sources to create solutions.
• Investigate system gaps and opportunities.

Skills

Solid general technical knowledge

Analytical problem solving

Coding experience across languages

Ability to learn quickly

Strong communication in virtual/remote

Education

Engineering major

Computer Science major

Mathematics major

Job description

DIRECTV is offering a summer internship in the Customer Operations organization, working with the Engineering team on the PCX Lab in El Segundo, CA. The role is hybrid, requiring 3 days per week in the LA area, with a strong emphasis on hands-on software work and cross-functional collaboration.

The program targets students in Engineering, CS, or Math, with solid technical knowledge, coding experience, and the ability to thrive in a remote or hybrid setting. AI/vision exposure is a plus.