Verification Engineer, Digital Signal Processing

Google

Sunnyvale, CA

JOB DETAILS
JOB TYPE
Full-time, Employee
SKILLS
Accredited Financial Examiner (AFE), Analog Signal, Artificial Intelligence (AI), Automation, C Programming Language, C++ Programming Language, Cloud Computing, Communication Systems, Communication Theory, Computer Engineering, Design Verification, Digital Signal Processing (DSP), Electrical Engineering, Equal Employment Opportunity (EEO), Equalization, Functional Testing, Graphic Design, High Level Architecture (HLA), MATLAB, Make Compilation Utility, Mathematics, Metrics, Network Operations Center, Operations Research, PHY, Perl Programming Language, Python Programming/Scripting Language, RTL Design, Scripting (Scripting Languages), Signal Processing, Signal Processing Algorithms, Simulation, SystemVerilog, User Interface/Experience (UI/UX), Verification Engineering
LOCATION
Sunnyvale, CA
POSTED
30+ days ago

Minimum qualifications:

  • Bachelor's degree in Electrical Engineering, Computer Engineering, or a related technical field.
  • 8 years of experience in design verification (DV) with a focus on digital signal processing (DSP), communication systems, or arithmetic logic blocks.
  • Experience with scripting in Python, Perl, or Makefile for automation.

Preferred qualifications:

  • Master's degree or PhD in Electrical Engineering, Computer Engineering, or a related technical field.
  • Experience with Mixed-Signal verification techniques such as Real Number Modeling (RNM, SystemVerilog-Wreal) or SystemVerilog-AMS.
  • Functional knowledge of adaptive equalization architectures (FFE/DFE) and timing recovery loops.
  • Programming proficiency in Python, MATLAB, or C/C++ for testbench automation and reference modeling.

About the job

In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.

In this role, you will define and execute the verification strategy for high-speed Physical Layer (PHY) digital blocks. This role focuses on the functional and mathematical verification of complex DSP algorithms, digital-analog boundaries, and signal processing logic. This position requires a strong technical foundation in communication theory, fixed-point arithmetic, and mixed-signal co-simulation.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $163000 - $237000 (USD) + 15% bonus target + bonus + equity + benefitsLearn more about benefits at Google.

Responsibilities

  • Verify RTL implementations against high-level architectural reference models (MATLAB, C++, or SystemC) using bit-exact and fixed-point verification methodologies.
  • Verify the stability, tracking capability, and convergence of adaptive equalization loops (FFE, DFE) and timing recovery systems under varying channel impairments.
  • Model and verify the functional interface between Digital DSP blocks and the Analog Front End (AFE) using Real Number Modeling (RNM) or SystemVerilog-AMS.
  • Design, implement, and maintain scalable UVM-based simulation environments, SystemVerilog Assertions (SVA), and functional coverage metrics for digital signal processing blocks.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

About the Company

G

Google

Build for everyone

Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe.

It starts with how we work together. We’re building a company where people of different views, backgrounds and experiences can do their best work and show up for one another. A place where every Googler feels like they belong.

So whether you develop new technology or creative campaigns, craft beautiful products or breakthrough partnerships, your work here is a chance to accomplish things that matter. Bring your insight, imagination, and healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

Benefits

We strive to provide Googlers and their loved ones with a world-class benefits experience, focused on supporting their physical, financial, and emotional wellbeing. Our benefits are based on data, and centered around our users: Googlers and their families. They’re thoughtfully designed to enhance your health and wellbeing, and generous enough to make it easy for you to take good care of yourself (now, and in the future). So we can build for everyone, together.

Learn more about Google’s benefits on this site featuring Googlers’ experience.

How we Hire

Google’s hiring process is an important part of our culture. Googlers care deeply about their teams and the people who make them up. In order to  build for everyone, we know that we need a wide range of perspectives and experiences, and a fair hiring process is the first step in getting there.

Learn more about our hiring process.

COMPANY SIZE
10,000 employees or more
INDUSTRY
Computer Software
EMPLOYEE BENEFITS
Paid Sick Days, Performance Bonus, Professional Development, 401K, Stock Options, Employee Events, Retirement / Pension Plans, Tuition Reimbursement, Work From Home, Life Insurance, On Site Cafeteria
FOUNDED
1998
WEBSITE
https://goo.gle/4dbno6V