Silicon Engineer, Custom Circuits and SRAM, Google Cloud
Technology, Data & Digital · Software & Web Development · Software Engineering · Embedded Systems
In short
Google Cloud is seeking a Silicon Engineer specializing in Custom Circuits and SRAM in Bengaluru, India. This role involves designing and optimizing custom silicon solutions, including SRAMs and other memories, for advanced CMOS nodes to power AI/ML hardware acceleration and Google's direct-to-consumer products.
Responsibilities
- Evaluate, analyze, implement, and integrate SRAMs, other memories (such as multiport register files), and custom circuits.
- Drive proper IP integration and margins with the physical design team.
- Work with the foundry, IP partners, and the technology, physical design, and architecture teams in advanced CMOS nodes to optimize our products for PPA, schedule, and reliability.
- Drive and support test chip design, execution, and validation of critical circuit IPs.
- Design and build custom circuits at the transistor and gate levels to support physical design and power-performance-area optimization.
- Drive development of a leading edge technology platform for custom, high performance ASIC’s and SoC’s, from design through manufacturing, packaging, and test.
Requirements
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 8 years of experience in circuit design, physical design (RTL-to-GDS), or technology development, including nodes (e.g., 7nm or below).
- Experience with SPICE and transistor level design in nodes.
- Experience with concurrent optimization across custom circuit/IP and physical design, including Place and Route (PNR) and Static Timing Analysis (STA).
- Experience in CMOS device physics, finfet/GAA/nanosheet architectures, or layout parasitics, and in scripting or automation in one or more programming languages (e.g., Tcl, Python, or Perl).
Desired Qualifications
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
- Experience with scripting languages such as Perl, Python, or Tcl.
- Experience working with foundry technology files (PDKs), standard cell libraries, metal stacks, and other features.
- Understanding of collaterals for front-end and back-end design teams.
- Track record of delivering optimized custom circuits/memories/IPs and PNR blocks for product tapeout.
- Understanding of characterization and verification of standard cells/SRAMs/register files, including knowledge of power, noise, variation, and IR analysis.
- Strong documentation and presentation skills to communicate efficiently with teammates and vendors/partners.
Benefits
- Opportunity to shape the future of AI/ML hardware acceleration.
- Drive cutting-edge TPU (Tensor Processing Unit) technology.
- Contribute to innovation behind products loved by millions worldwide.
- Leverage design and verification expertise.
- Be part of a team that pushes boundaries, developing custom silicon solutions.
- Google's standard benefits and EEO/Affirmative Action employment practices apply.
#AI/ML#TPU#Google Cloud#custom silicon#SRAM#circuit design#physical design#RTL-to-GDS#CMOS#finfet#GAA#nanosheet#ASIC#SoC
Company
Job Posted
1 month ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Mid-Senior
Locations
Bengaluru, India
Qualification
Bachelor, Master, Doctoral
Applicants
Be an early applicant