Software Engineer, XR Glasses Connectivity, Video Streaming

Staff Software Engineer, XR Glasses Connectivity, Video Streaming

Google San Jose, CA, USA ;
New York, NY, USA

By applying to this position you will have an opportunity to share your preferred working location from the following:
San Jose, CA, USA;
New York, NY, USA
.

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++ or
  
  C.
• 5 years of experience in software development, with a focus on video processing, codecs, bluetooth, and real-time streaming technologies.

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• Experience with peer-to-peer (P2P) networking over Bluetooth and Wi-Fi.
• Experience developing and debugging software for Android, Real-Time Operating System, or custom embedded platforms.
• Experience with optimizing streaming over unreliable wireless links including Bluetooth Classic or Bluetooth Low Energy.
• Experience in video codecs, Hardware or Software, such as H.264/Advanced Video Coding, H.265/High Efficiency Video Coding, or VP9/AOMedia Video 1.
• Understanding of real-time network protocols such as Real-time Transport Protocol, Real-time Transport Control Protocol, Transmission Control Protocol, User Datagram Protocol, and Web Real-Time Communication.

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 be instrumental in developing, optimizing, and deploying the core video and real‑time streaming technologies that power the next generation of our Augmented Reality/Virtual Reality (AR/VR) glasses. This is a unique opportunity to work on problems at the intersection of video compression, real‑time networking, and embedded systems, directly impacting the user experience of revolutionary products. This role is for an experienced engineer who grows on technical issues and wants to make a tangible impact on a consumer product.

You will be part of a pioneering team that is solving problems that have never been solved before, building the foundational technology that will define the future of human interaction and communication through display Glasses.

The US base salary range for this full‑time position is $197,000-$291,000 + bonus + equity + benefits. Our salary 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 salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

• Design and implement low-latency video codec and transport solutions tailored for resource‑constrained embedded systems and various network connections such as Bluetooth (BT) Classic, Bluetooth Low Energy (BLE), and Wireless Fidelity (Wi‑Fi) Direct.
• Optimize the video streaming pipeline for power efficiency, minimal latency, and high visual quality.
• Define and implement performance metrics, automated testing, and validation frameworks to ensure the reliability and quality of the video and network transport…