16 Memory Hierarchies Jobs

As a candidate for the position, you will be part of a team that is dedicated to pushing boundaries and developing custom silicon solutions that will drive the future of Google's direct-to-consumer products. Your contributions will play a key role in innovating products that are loved by millions globally, shaping the next generation of hardware experiences with unparalleled performance, efficiency, and integration. The ML, Systems, & Cloud AI (MSCA) organization at Google is responsible for designing, implementing, and managing hardware, software, machine learning, and systems infrastructure for all Google services, including Google Cloud. Your work will impact Googlers, Cloud customers, an...

In this role, you will work on shaping the future of AI/ML hardware acceleration, focusing on cutting-edge TPU (Tensor Processing Unit) technology that powers Google's demanding AI/ML applications. You will be part of a team that develops custom silicon solutions for Google's TPUs, contributing to innovative products used by millions worldwide. Your expertise in design and verification will be crucial in verifying complex digital designs, with a specific emphasis on TPU architecture and its integration within AI/ML systems. As a member of the team, you will play a key role in developing ASICs that enhance traffic efficiency in data centers. Collaborating with various teams such as architectu...

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. Experience with accelerator architectures and data center workloads. Preferred qualifications: 2 years of experience post PhD. Experience with performance modeling tools. Knowledge of arithmetic units, bus architectures, accelerators, or memory hierarchies. Knowledge of high performance and low power design techniques. About The Job In this role, you will shape the future of AI/ML hardware acceleration as a Silicon ...

In this role, you will work to shape the future of AI/ML hardware acceleration, specifically focusing on TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You will be part of a team that pushes boundaries and develops custom silicon solutions for Google's TPU, contributing to the innovation behind products loved by millions worldwide. Your expertise in design and verification will be utilized to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. Key Responsibilities: - Own microarchitecture, implementation, and integration of SoC Chassis and subsystems. - Perform quality chec...

As a member of the team, you will contribute to shaping the future of AI/ML hardware acceleration, focusing on cutting-edge TPU technology that drives Google's most demanding AI/ML applications. Your responsibilities will involve verifying complex digital designs, specifically related to TPU architecture and its integration within AI/ML-driven systems. You will work on ASICs used to enhance data center traffic, collaborating with various teams to deliver high-quality designs for next-generation data center accelerators. Innovation, problem-solving, and evaluation of design options will be key aspects of your role, with a focus on micro-architecture and logic solutions. Responsibilities: - Ow...

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 8 years of experience with digital logic design principles, RTL design concepts, and languages, such as Verilog or SystemVerilog. Experience with logic synthesis techniques to optimize RTL code, performance and power, as well as low-power design techniques. Preferred qualifications: Experience with coding languages (e.g., Python or Perl). Experience in System on a Chip (SoC) designs and integration flows. Knowledge of arithmetic units, bus architectures, processor design, accelerators, or memory hierarchies. Knowledge of high per...

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. 8 years of experience in ASIC development with Verilog/SystemVerilog, VHDL. Experience with ASIC design verification, synthesis, timing/power analysis, and Design for Testing (DFT). Experience in micro-architecture and design of IPs and subsystems in Networking domain such as packet processing, bandwidth management, congestion control, etc. Preferred qualifications: Experience with scripting languages (e.g., Python or Perl). Experience in SoC designs and integration flows. Knowledge of high performance and low power design technique...

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. You will be part of a team developing SoCs used to accelerate machine learning computation in...

In this role, you'll be part of a team working on shaping the future of AI/ML hardware acceleration, specifically focusing on cutting-edge TPU (Tensor Processing Unit) technology. Your main responsibilities will include: - Driving the development of Complex IPs and Subsystems in collaboration with a team of engineers in the Bengaluru design organization. - Taking ownership of the micro-architecture and implementation of IPs and subsystems. - Collaborating with Architecture, Firmware, and Software teams to ensure feature closure and develop micro-architecture specifications. - Leading design methodology, libraries, debug, and code review activities in coordination with other IPs Design Verifi...

Role Overview: As a Hardware Engineering Intern at Google, you will be part of a team shaping the future of Google Cloud Silicon, including TPUs, Arm-based servers, and network products. You will collaborate with hardware and software architects and designers to architect, model, analyze, define, and design next-generation Cloud Silicon. Your responsibilities will be dynamic and multi-faceted, focusing on product definition, design, and implementation. You will work closely with Engineering teams to achieve the optimal balance between performance, power, features, schedule, and cost. Key Responsibilities: - Work with hardware and software architects and designers to architect, model, analyze...

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 10 years of experience in ASIC development with Verilog/SystemVerilog, Vhsic Hardware Description Language (VHDL). Experience in micro-architecture and design IPs and Subsystems. Experience in ASIC design verification, synthesis, timing/power analysis, and Design for Testing (DFT). Preferred qualifications: Experience with scripting languages (e.g., Python or Perl). Experience in SoC designs and integration flows. Knowledge of bus architectures, fabrics/NoC, processor design, accelerators, or memory hierarchies.. Knowledge of hig...

As an experienced professional in ASIC development with a background in Electrical Engineering, Computer Engineering, or related fields, you will play a crucial role in shaping the future of AI/ML hardware acceleration. Your primary responsibility will be to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. Working within a dynamic team environment, you will contribute to the innovation behind products loved by millions worldwide, focusing on verifying complex digital designs with a specific emphasis on TPU architecture and its integration within AI/ML-driven systems. Your role will also involve collaborating with cross-functio...

We are seeking a seasoned Software Engineer with a strong background in computer architecture or networking. The ideal candidate will play a key role in shaping our technology portfolio, bringing expertise and creativity to our solutions by developing high-quality system software, optimizing algorithms, building performance models, and collaborating closely with hardware teams. Roles and Responsibilities: Develop system software in Python and C++ . Develop core software optimization algorithms and platforms. Build performance models of different IPs (Intellectual Properties). Work closely with hardware teams to implement configuration knobs for IPs. Execute verification test plans to produce...

We are seeking a seasoned Software Verification Engineer with a strong background in computer architecture or networking. The ideal candidate will play a key role in shaping our technology portfolio, bringing expertise and creativity to our solutions by developing high-quality software, optimizing algorithms, building performance models, and executing comprehensive verification test plans. Roles and Responsibilities: Develop system software in Python and C++ . Develop core software optimization algorithms and platforms. Build performance models of different IPs (Intellectual Properties). Work closely with hardware teams to implement configuration knobs for IPs. Execute verification test plan...

As an experienced professional in ASIC development with a Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, you will be leading a team of engineers in Bengaluru to deliver AI/ML compute intensive IPs and subsystems. With 8 years of experience in Verilog/SystemVerilog, VHDL, or Chisel, and 4 years of people management expertise, you will collaborate with Architecture, Firmware, and Software teams to drive feature closure and develop microarchitecture specifications. Your responsibilities will include taking ownership of complex IPs or subsystems, implementing RTL, and driving design methodology, libraries, debug, and code review in coordi...

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. You should possess at least 5 years of experience in ASIC development with Verilog/SystemVerilog and VHDL. It is essential to have experience in ASIC design verification, synthesis, timing/power analysis, and Design for Testing (DFT). Additionally, experience in micro-architecture and design of subsystems is required. Preferred qualifications: Ideally, you should have experience in SoC designs and integration flows. Proficiency in scripting languages such as Python or Perl would be beneficial. Knowledge of high performance and low p...