Silicon DFT Engineer, PhD, Google Cloud

Google; Bengaluru; Sur place; INR 700 000 - 1 000 000; Plein temps

Résumé du poste

Google is seeking a Silicon DFT Engineer (PhD) to shape the future of AI/ML hardware acceleration. Based in Bengaluru, you will join a team driving TPU technology and developing custom silicon solutions powering Google's AI workloads.

You will verify complex digital designs focusing on TPU architecture within AI/ML-enabled systems, collaborating with architecture and silicon teams, and partnering with EDA vendors to advance testability features and manufacturing yield analysis.

Qualifications

• PhD required in Electronics & Communication, Electrical or Computer Engineering or related field.
• Experience with C++, Python, Verilog and with Synopsys/Cadence design tools.
• Strong background in DFT/DFX and silicon testing concepts.

Responsabilités

• Collaborate with architecture and silicon engineers to develop next-generation DFT/DFX features for large-scale SoCs.
• Design and implement software and hardware validation solutions for advanced testing (LBIST, MBIST, Scan compression).
• Research and integrate ML or semi-analytical models to address DFT challenges.
• Triage and debug post-silicon yields and failures with failure analysis and diagnostics.
• Write and review specifications for SoC testability and coordinate with EDA vendors.

Connaissances

C++

Python

Verilog

Synopsys tools

Cadence tools

Formation

PhD in Electronics/EE/CE or related field

Outils

Synopsys

Cadence tools

Description du poste

Silicon DFT Engineer, PhD, Google Cloud

Location: Bengaluru, Karnataka, India. Level: Mid.

Minimum qualifications:

• PhD degree in Electronics and Communication Engineering, Electrical Engineering, Computer Engineering or related technical field, or equivalent practical experience.
• Experience in programming languages (e.g., C++, Python, Verilog), Synopsys, Cadence tools.

Preferred qualifications:

• 2 years of experience in Silicon Engineering post PhD.
• Experience with Electronic Design Automation (EDA) tools in design, verification, DFT and implementation.
• Design for Test (DFT) knowledge (Boundary Scan, ATPG, MBIST).

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 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.

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 team behind Google's groundbreaking innovations, empowering the development of our 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.

Responsibilities

• Work with a group of architecture and silicon engineers to develop next-generation DFT/DFX features for large-scale SoCs.
• Design and implement software and hardware validation solutions for advanced testing, including logic BIST (LBIST), memory BIST (MBIST), and Scan compression.
• Research, develop, and integrate machine learning or semi-analytical models to solve complex DFT challenges.
• Triage, debug, and resolve high-priority post-silicon yield and structural failures by driving advanced failure analysis (FA) and volume diagnostics.
• Write and review technical specifications for SoC testability and partner with EDA vendors.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

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