Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, you will help power the world's largest video platform and will design and build the high-performance video processing hardware used by YouTube in Google data centers. Your work will directly enable new features for billions of users while significantly reducing the cost of transcoding at an unprecedented scale.
Our work was first revealed to the world in a research paper presented at the ASPLOS conference, which was further detailed in an accompanying YouTube Public blog post. More recently, the team was honored with a 2024 Technical Emmy Award for our groundbreaking contributions to the field of video engineering.
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Develop and maintain core software that vertically integrates new hardware video encoders into the YouTube video processing pipeline.
- Collaborate with product infrastructure teams to ensure seamless integration and support new video features across various platforms like live streaming, video on demand (VOD), and Shorts.
- Design, implement, and validate new features and optimizations that leverage the capabilities of custom hardware for high-performance video transcoding.
- Debug and optimize production systems, investigating and resolving performance bottlenecks to improve latency, throughput, and overall efficiency at Google's data center scale.
- Perform low-level software engineering, including user space driver integrations, kernel subsystems, and other systems-level engineering.
Qualifications
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in the C++ programming language.
- 5 years of experience with data structures and algorithms.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
- Experience with Linux-based development environments, large-scale distributed systems and performance-critical applications, or working with video encoding.
- Experience in low-level engineering, such as kernel subsystems and user space driver integrations.
- Excellent system-level debugging skills.