Senior Software Engineer - RCS & Low-Latency Systems

Google

Mountain View (CA)

On-site

USD 174,000 - 252,000

Full time

14 days+
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Job summary

Google in Mountain View, CA is seeking a software engineer to advance the next generation of RCS and global communications. You will profile, debug, and enhance the RCS protocol stack, and collaborate across teams to integrate features like cross‑platform video streaming and codecs.

The role emphasizes low‑level optimization, scalability, and delivering butter-smooth user experiences at massive scale, with opportunities to work on backend services and distributed systems within Platforms and

Qualifications

  • Bachelor's degree in Computer Science or related field or equivalent practical experience.
  • 5 years of experience with algorithms, data structures, complexity analysis and software design.
  • Experience with Android system‑level development or application framework design.

Responsibilities

  • Profile, debug, and enhance RCS protocol stack and client‑side architecture for throughput and latency.
  • Collaborate with cross‑functional teams to integrate cross‑platform video streaming and codecs.
  • Design robust systems to handle massive concurrency while ensuring interoperability across global networks.
  • Focus on low‑level optimization, latency reduction, and delivering butter‑smooth experiences.
  • Grow in a changing environment and build technology impacting billions daily.

Skills

Algorithms
Data structures
Complexity analysis
Software design
Android system‑level development

Education

Bachelor's degree in Computer Science or related field
Equivalent practical experience
Master's or PhD in Computer Science

Tools

GRPC
Protocol buffers
SIP
MSRP

Job description

Google in Mountain View, CA is seeking a software engineer to advance the next generation of RCS and global communications. You will profile, debug, and enhance the RCS protocol stack, and collaborate across teams to integrate features like cross‑platform video streaming and codecs.

The role emphasizes low‑level optimization, scalability, and delivering butter-smooth user experiences at massive scale, with opportunities to work on backend services and distributed systems within Platforms and

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