Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company'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.
The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our customers, Cloud customers and the billions of people who use our company 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 our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Define and implement solutions for design, integration and verification problems using in-house and external technical solutions or tools. Ensure chip quality by implementing best practices and implementing quality control measures.
Participate in project development and convergence with the highest quality, and manage issues as they arise through design and implementation.
Connect between RTL design, physical design, Design for Test (DFT), external IPs and SoC while maintaining project priorities.
Maintain project infrastructure and stability.
Requirements: Minimum qualifications:
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
4 years of experience with design from microarchitecture through implementation with Verilog/SystemVerilog, or VHDL language.
Experience with scripting.
Preferred qualifications:
Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
Experience with ASIC design methodologies for front quality checks (e.g., Lint, CDC/RDC).
Experience with Synthesis, SDC, DFT, ATPG/Memory BIST, UPF, and Low Power Optimization/Estimation.
Experience with chip design flow, physical design, IP integration, and Design for Testing (DFT).
Ability to multitask, with excellent communication and facilitation skills.
This position is open to all candidates.