Staff Software Engineer, Media Infrastructure

LinkedIn is seeking a Staff Software Engineer to join their Media Infrastructure organization, a crucial team responsible for handling all media creation and consumption across the platform. This role offers a unique opportunity to work on systems that directly impact LinkedIn's core business metrics through video and media performance optimization.

The position is available in either Mountain View, CA or Bellevue, WA, with a hybrid work arrangement that balances remote work with in-office collaboration. As a Media Infrastructure specialist, you'll be at the forefront of optimizing media processing systems, working with various video codecs, and enhancing media delivery capabilities that serve LinkedIn's massive professional network.

The role combines deep technical expertise in media processing with distributed systems engineering. You'll be working with cutting-edge video technologies including H.264, H.265, VP9, and AV1 codecs, while also focusing on system-level optimizations for a cluster of worker nodes. The position requires strong programming skills in languages like Java, Python, Go, or Rust, along with expertise in media quality metrics and FFMPEG tooling.

What makes this role particularly exciting is its impact on LinkedIn's business growth, as video has become a key driver for the platform. You'll be part of a small but highly impactful organization where your optimizations in video performance can directly move the needle on core business metrics. The role offers competitive compensation ranging from $156,000 to $255,000, along with comprehensive benefits including health and wellness programs, equity, and annual performance bonuses.

This is an ideal opportunity for an experienced engineer who is passionate about media technology and wants to work on large-scale systems that serve millions of professionals worldwide. The position offers the perfect blend of technical challenges, business impact, and work-life balance with LinkedIn's flexible hybrid work model.