Software Engineer Intern (Fall 24)

Dolby Sound Laboratories San Francisco , CA 94118

Posted 2 weeks ago

Join the leader in entertainment innovation and help us design the future. The Dolby U internship program offers impactful, project-based work experience in a collaborative, creative environment where you work side by side with industry leaders. Amplify your insatiable curiosity by implementing real-world solutions that revolutionize how people communicate and how entertainment is created, delivered, and enjoyed worldwide. We offer a collegial culture, challenging projects, and excellent compensation and benefits, not to mention a Flex Work approach that is truly flexible to support where, when, and how you do your best work. For any student seeking to gain invaluable expertise through meaningful, personal contributions, we invite you to join us in continuing to design a future where technology meets entertainment!

The Cloud Media Solutions organization builds technologies and innovations that easily integrate into service providers' infrastructure to make content experiences more effective, meaningful, and engaging for consumers.

Summary

Dolby Cloud Solutions team is seeking a software engineering intern, who is eager to explore the future

of cloud technology at Dolby. In this internship, you will have the opportunity to explore, research, and

prototype new distributed computing concepts in private and public clouds.

Responsibilities

  • Collaborate with engineering teams to build highly scalable applications using cloud computing

infrastructure

  • Evaluate and benchmark existing technologies and services

  • Process, analyze and visualize logging data

  • Generate cost and performance models for distributed compute infrastructure

  • Optimize existing workflows, perform code reviews and write high quality code

Basic Qualifications

  • Hands-on experience in one or more of AWS, Google Cloud, Azure

  • Hands-on programming experience is required in one or more: Node.js, Golang, Rust, Python,

C++

  • Strong computer science fundamentals and problem-solving skills

  • Experience in designing experiments and statistical analysis

Desirable Qualifications

  • Practical experience in: Docker, Linux, Git

  • Practical experience using database technologies for application development

We recognize that applying to internships can be a daunting process, especially if you have not had any

previous internships, or if this is a new field of interest to you. Even if you do not have previous

professional experience to meet the listed qualifications, we will consider relevant project, volunteer,

and extracurricular experiences, and we encourage you to include them on your resume and apply.

Eligibility

Working towards a master's degree or Ph.D. in Computer Science, Electrical Engineering, or a related

field; recent grads who are within 6 months of graduation are also eligible to apply. Must be available to

work full-time Monday-Friday for 3 months starting from May/June 2023.

Start date for the internship is as follows: (note this date is not flexible)

  • Monday, September 23, 2024

The San Francisco/Bay Area base hourly range for this internship position is $45-55/hr and can vary if outside of this location. Our hourly ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific hourly range and perks and benefits for your location during the hiring process.

Dolby will consider qualified applicants with criminal histories in a manner consistent with the requirements of San Francisco Police Code, Article 49, and Administrative Code, Article 12

Equal Employment Opportunity:

Dolby is proud to be an equal opportunity employer. Our success depends on the combined skills and talents of all our employees. We are committed to making employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, national origin, religion, marital status, family status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state, and local laws and ordinances.


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