Senior Software Engineer - Video Processing

LinkedIn, the world's largest professional network, is seeking a Senior Software Engineer to join their Media Infrastructure organization. This role is pivotal in handling all media creation and consumption on LinkedIn, where video has become a key driver of business growth. The position offers a hybrid work arrangement with locations in Mountain View, CA, San Francisco, CA, or Bellevue, WA.

The Media Infrastructure organization provides a platform for LinkedIn product teams to incorporate media features, with a particular focus on video optimization that has significantly impacted LinkedIn's core business metrics. As a Media specialist, you'll be responsible for optimizing media transcoding processes and tuning encoding parameters to enhance delivery capabilities.

The role requires expertise in video processing, with responsibilities including defining media quality metrics, integrating various video codecs (H.264, H.265, VP9, AV1), and working with FFMPEG for media stream manipulation. You'll be working with a cluster of worker nodes and implementing system-level optimizations to improve overall performance.

Key qualifications include a BA/BS in Computer Science or related field, 2+ years of industry experience in software development, and proficiency in languages like Java, Python, Go, or Rust. Experience with media processing and video codecs is essential.

LinkedIn offers a comprehensive benefits package including health and wellness programs, competitive base pay ($128,000 - $210,000), annual performance bonuses, and equity compensation. The company culture emphasizes trust, care, inclusion, and fun, providing transformational opportunities for employee growth.

This is an excellent opportunity for a senior engineer passionate about video processing to make a significant impact at scale, working with cutting-edge technology in a collaborative environment. The role combines technical challenges with business impact, as optimizations in video performance directly affect LinkedIn's core metrics.