Staff Architect, Digital Signal Processing, Google Cloud
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.
In this role, 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.
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 degree or PhD in Electrical Engineering, Computer Engineering, 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.
- Strong publication record in conferences or journals in the field of communications or signal processing.
- Excellent programming skills in Matlab for algorithm development, simulation, and analysis.
Embedded pay context
Based on 303 disclosed Embedded salaries on RoleSuite, the role pays a median of $161K/year, with most offers between $132K and $194K (10th–90th percentile: $108K–$229K).
Google ranks among the higher-paying employers for this role, at a $214K median across 34 disclosed postings.
See the full Embedded salary breakdown →