Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As a Staff Engineer on the Digital Signal Processing team, you will be a technical leader responsible for architecting and developing the core algorithms that power our next-generation data center interconnects. You will leverage your expertise in communication theory, forward error correction (FEC), and modulation to design novel, low-complexity solutions that push the boundaries of speed and reliability.
This is an executive role where you will not only define the technical direction for critical projects but also mentor other engineers and collaborate across hardware and software teams to bring your goal to life in silicon.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
- Lead the architecture, design, and implementation of digital signal processing (DSP) algorithms for high-speed optical communication systems. Drive the long-term technical roadmap for our signal processing and communication architectures by staying current with academic and industry trends.
- Develop and analyze novel forward error correction (FEC) and modulation schemes to optimize for performance, power, and complexity tradeoffs.
- Create comprehensive system-level models using tools like Matlab, Python, or C++ to simulate and validate algorithm performance.
- Collaborate closely with logic design, verification, and software teams to ensure the successful implementation, integration, and bring-up of algorithms in custom silicon.
- Provide technical leadership and mentorship to a team of DSP and communication systems engineers, fostering innovation and engineering excellence.
Qualifications
Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, or a related technical field or equivalent practical experience.
- 10 years of experience in digital signal processing, communication theory, and algorithm development.
- Experience in the design and implementation of algorithms for communication systems, including FEC or modulation techniques.
Preferred qualifications:
- Master's or PhD degree in Electrical Engineering, Computer Engineering, or a related technical field or equivalent practical experience.
- Experience in the theory and practical implementation of modern FEC codes (e.g., LDPC, staircase, polar codes) and advanced modulation formats.
- Experience in designing and modeling high-speed optical communication transceivers or similar high-bandwidth systems.
- Experience leading the development of algorithms from initial concept through to successful silicon production.
- Excellent programming skills in Matlab for algorithm development, simulation, and analysis.
- A strong publication record in conferences or journals in the field of communications or signal processing.