Software Engineer, Post Production Engineering

10 Months ago • 3 Years + • $160,565 PA - $207,790 PA
Research Development

Job Description

Pixar's Post Production Engineering team develops software to support the entire post production pipeline, including color grading, localization, packaging, delivery, and media asset archiving. This role involves building a robust and flexible software pipeline to streamline post production workflows for feature films, ensuring quick and accurate delivery. Responsibilities include collaborating with internal clients, developing and maintaining software architecture, writing automated tests, and providing ongoing support.
Good To Have:
  • Knowledge of post production pipelines and deliverables
  • Familiarity with video/image transcoding, editorial timelines, compositing
  • Experience with event-driven architecture
Must Have:
  • Python, Linux, web technologies
  • Software engineering skills (git, code reviews, automated testing, CI)
  • Strong communication skills, teamwork
  • Experience working with technical and non-technical users

Add these skills to join the top 1% applicants for this job

github
python
git
linux
automated-testing
color-grading
lqa

Job Summary:

Our Post Production Engineering team crafts software to support all of Pixar's post production pipeline, including color grading, localization, packaging, delivery, and media asset archiving. Together with our internal clients, we've built a sophisticated production pipeline, and our tools can generate terabytes of new media in a single day. Our software touches every Pixar project (feature films, shorts, series, and promotional material) and every version (Digital Cinema, Blu-ray/UHD, 3D, International). As technology advancements like immersive sound formats, 4K stereo, and direct view/emmissive displays transform our industry, we are looking for engineers who are passionate about tackling new problems. You are a versatile software engineer capable of handling everything from design and development to testing and support. You are dedicated to writing reliable and maintainable code, in both a new and legacy codebase. You are happiest working directly with the people who use your tools and strive to understand their workflow and needs. You have experience with image and video processing tools and technologies. You are hard-working, flexible, and an excellent communicator. You are an enthusiastic team member, who wants to contribute your engineering skills to support film production at Pixar. Does this sound like you? If so, we'd love to hear from you.

Responsibilities

  • Support the Studio Mastering and Operations team during feature film deliveries

  • Build a robust yet flexible software pipeline to allow our production users to quickly and accurately guide our films through the post production process

  • Develop and maintain our software architecture, applying strong principles for code quality and maintainability

  • Write automated tests and user documentation

  • Collaborate with our users to craft products and provide ongoing support as new requirements and deliverables arise

Experience and Qualifications

  • Bachelor's degree in Computer Science or equivalent degree program

  • 3+ years working in a professional setting

  • Experience with Python, Linux, and web technologies

  • Strong software engineering skills, including experience with git, code reviews, automated testing, and continuous integration

  • Excellent verbal and written communication skills, and the ability to collaborate on a team

  • Proven ability to work with both technical and non-technical software users

Preferred Experience

  • Knowledge of post production pipelines and deliverables

  • Familiarity with video and image transcoding, generating and manipulating editorial timelines, and compositing workflows

  • Practical experience with event-driven architecture

The hiring range for this position in Emeryville is $160,565.00 to $207,790.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors.

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