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לפני 3 שעות
חברה חסויה
Location: Haifa and Hod Hasharon
Job Type: Full Time
We are currently looking for a Performance Simulation Expert develop and evaluate next generation performance features as well as develop the future generation of our Compute system simulation infrastructure, models and analysis tools.
Requirements:
MSc or BSc in computer science/EE or area related to computer architecture, or equivalent research experience in industry
At least 7 years of relevant research and development experience in industry and academia in the following areas:
Computer architectures: instruction set architecture, microarchitecture, cache sub-system, memory sub-system, NOC, interconnect
Workload characterization and analytical model generation
System Modelling and emulation of HW.
Simulation of Software workloads and Software applications on HW simulator
Ability to provide innovation and global vision throughout the company
Excellent communication, presentation and reporting skills
Experience working with highly technical teams and communicating to non-technical partners.
Excellent oral and written English.
Responsibilities:
Develop and analyze performance and power features in our cycle accurate pre-silicon model and improve the accuracy of the current Server system simulator
Design the architecture of the new generation system simulation platform that will be used to analyze performance of Server (Compute and AI) workloads and identify performance bottlenecks
Develop new technologies, methodologies and tools for simulation. Analysis and debug of applications and workload on Huawei servers
Propose and simulate optimizations and innovations on the HW and SW in order to improve server performance for given workloads
Distribute the simulation platform, train and support other teams in China and in Europe using the simulation platform, technology and methodology.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo and Haifa
Job Type: Full Time
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.
As a Power Architect, you will not just design chips; you will define the energy efficiency of the infrastructure that powers our company services worldwide.
In this role, you will be at the intersection of architecture, logic design, physical implementation, and system software. You will own the power architecture for next-generation custom SoCs (System on Chips), making critical trade-offs between performance, thermal constraints, and power delivery to build the most efficient computing platforms on the planet.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company'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 our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Define and own the SoC power architecture, including complex power domains, clocking structures, and Power Delivery Network (PDN) solutions to achieve optimal Performance-per-Watt.
Architect sophisticated power management policies, including Dynamic Voltage and Frequency Scaling (DVFS), power gating, and state strategies. Define the hardware/software interface for the Power Management Unit (PMU) and provide power management specifications.
Lead collaboration across architecture, RTL, physical design, packaging and validation teams to establish power budgets and specifications. Ensure power requirements are met from concept to tape-out.
Develop high-fidelity power and performance models to evaluate architectural features early in the design cycle. Drive pre-silicon power estimation and analysis to guide design decisions.
Lead post-silicon power analysis, correlating lab measurements with pre-silicon models to close the loop and improve future methodologies.
Requirements:
Minimum qualifications:
Bachelor's degree in Electrical Engineering, Computer Engineering, or equivalent practical experience.
8 years of experience in ASIC/SoC architecture or design with a focus on power optimizations.
Experience developing or using power and performance modeling tools to drive architectural trade-offs.
Experience in low-power design techniques (e.g., UPF/CPF, multi-voltage islands, power gating, clock gating, etc.) and on-chip power management IP.
Preferred qualifications:
Masters degree or PhD in Electrical Engineering, Computer Engineering, or a related field.
Experience in the design and analysis of full-chip power integrity, including interactions between clocking, reset, and power sequencing.
Experience with post-silicon bring-up, power calibration, thermal management, and debugging in a lab environment.
Experience with data center or server SoC power architecture and management requirements.
Experience with industry-standard EDA power tools (e.g., Conformal LP, Power-Artist, PrimeTime-PX, Joules) and simulation environments.
Familiarity with modern workload analysis (AI/ML, transcoding, networking) and their impact on SoC power profiles.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo and Haifa
Job Type: Full Time
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.
As a CPU Workload Analysis Researcher within our company Cloud's ML Systems and Cloud AI (MSCA) organization, you will be integral to developing silicon solutions powering our company's direct-to-consumer products. You will join a Research and Development team focused on analyzing and profiling workloads requirements within the xompany Cloud environment. Your role will involve conducting in-depth research on CPU optimization, feature development, and ML usages over compute platforms, contributing to identifying key areas of investment and future opportunities. This role offers a unique opportunity to perform groundbreaking research with a significant impact on both research methodologies and industry products, within the server chip architecture team. Your work will directly influence the next generation of hardware experiences for millions of our company users and Cloud customers.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company'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 our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Plan and execute detailed analysis of CPU workloads within the company Cloud infrastructure, analyze trends and map future requirements.
Collaborate closely with architecture and modeling owners to understand design specifications and identify critical scenarios related to CPU performance and efficiency.
Develop and implement custom workload generation tools and methodologies to simulate real-world usage patterns on our company Cloud platforms.
Analyze the impact of machine learning applications on CPU usage, identifying opportunities for optimization and feature enhancements.
Lead the investigation and development of metrics to measure CPU performance and efficiency, presenting findings to stakeholders and contributing to strategic decisions.
Requirements:
Minimum qualifications:
PhD degree in Electrical and Electronics Engineering, or equivalent practical experience.
2 years of experience with software development in C++ programming language.
1 years of experience with data structures or algorithms.
Preferred qualifications:
Experience in performance modeling, performance analysis, and workload characterization.
Experience applying machine learning techniques and inference usage models on hardware.
Expertise in CPU architecture disciplines such as branch prediction, prefetching, value prediction, and caching policies.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo and Haifa
Job Type: Full Time
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.
In this role, you will use Application-Specific Integrated Circuit (ASIC) design experience to be part of a team that develops complex ASIC System-on-Chip (SoC) intellectual property from proof-of-concept to production. This includes creating IP Level microarchitecture definitions, Register-Transfer Level (RTL) coding and all RTL quality checks. You will also have the opportunity to contribute to design flow and methodologies, including design generation automation. You will collaborate with members of architecture, software, verification, power, timing, synthesis design for testing etc. You will develop/define design options for performance, power and area.
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 companyrs, 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 the IP microarchitecture level design document such as interface protocol, block diagram, transaction flow, pipeline etc.
Perform RTL development (coding and debug in Verilog, SystemVerilog).
Conduct function/performance simulation debug and Lint/CDC/FV/UPF checks.
Engage in synthesis, timing/power closure, and ASIC silicon bring-up.
Contribute to verification test plan and coverage analysis of block and SoC-level.
Requirements:
Minimum qualifications:
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
4 years of experience with digital logic design principles, Register-Transfer Level (RTL) design concepts, and languages such as Verilog or System Verilog.
Experience in logic design and debug with Design Verification (DV).
Experience with microarchitecture and specifications.
Preferred qualifications:
Experience with logic synthesis techniques to optimize Register-Transfer Level (RTL) code, performance and power as well as low-power design techniques.
Experience with design sign off and quality tools (Lint, CDC, VCLP etc.).
Experience in a scripting language like Python or Perl.
Knowledge of SoC architecture and assertion-based formal verification.
Knowledge of one of these areas, PCIe, UCIe, DDR, AXI, ARM processors family.
Knowledge of high performance and low power design techniques.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo and Haifa
Job Type: Full Time
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.
As a SoC Physical Design Engineer, you will collaborate with functional design, Design for Testing (DFT), architecture, and packaging engineers. In this role, you will solve technical problems with innovative micro-architecture and practical logic circuits solutions, while evaluating design options with optimized performance, power, and area in mind.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company'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 our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Use problem-solving and simulation techniques to ensure performance, power, and area (PPA) are within defined requirements.
Collaborate with cross-functional teams to debug failures or performance shortfalls and meet program goals in lab or simulation.
Design chips, chip-subsystems, or partitions within subsystems from synthesis through place and route, and sign off convergence, ensuring that the design meets the architecture goals of power, performance, and area.
Develop, validate, and improve Electronic Design Automation (EDA) methodology for a specialized sign off or implementation domain to enable cross-functional teams to build and deliver blocks that are correct by construction and ease convergence efforts.
Requirements:
Minimum qualifications:
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
5 years of experience with System on a Chip (SoC) cycles.
Experience with advanced design, including clock/voltage domain crossing, DFT, and low power designs.
Experience in high-performance, high-frequency, and low-power designs.
Preferred 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.
This position is open to all candidates.
 
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
Location: Tel Aviv-Yafo and Haifa
Job Type: Full Time
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.
As a CPU Workload Analysis Researcher within our company Cloud's MSCA organization, you will be integral to developing silicon solutions powering our company's direct-to-consumer products. You will join a Research and Development team focused on analyzing and profiling workloads requirements within the company Cloud environment. Your role will involve conducting in-depth research on CPU optimization, feature development, and ML usages over compute platforms, contributing to identifying key areas of investment and future opportunities. This role offers a unique opportunity to perform groundbreaking research with a significant impact on both research methodologies and industry products, within the server chip architecture team. Your work will directly influence the next generation of hardware experiences for millions of our company users and Cloud customers.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company'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 our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Plan and execute detailed analysis of CPU workloads within the company Cloud infrastructure, analyze trends and map future requirements.
Collaborate closely with architecture and modeling owners to understand design specifications and identify critical scenarios related to CPU performance and efficiency.
Develop and implement custom workload generation tools and methodologies to simulate real-world usage patterns on our company Cloud platforms.
Analyze the impact of machine learning applications on CPU usage, identifying opportunities for optimization and feature enhancements.
Lead the investigation and development of metrics to measure CPU performance and efficiency, presenting findings to stakeholders and contributing to strategic decisions.
Requirements:
Minimum qualifications:
PhD in Electrical and Electronics Engineering, or equivalent practical experience.
2 years of experience with software development in C++ programming language.
1 years of experience with data structures or algorithms.
Preferred qualifications:
Experience in performance modeling, performance analysis, and workload characterization.
Experience applying machine learning techniques and inference usage models on hardware.
Expertise in CPU architecture disciplines such as branch prediction, prefetching, value prediction, and caching policies.
This position is open to all candidates.
 
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לפני 4 שעות
Location: Hod Hasharon and Haifa
Job Type: Full Time
Looking for a CPU performance modeling architect to take responsibility over the performance aspects of new CPU instructions or modes of operation. The role includes but is not limited to:
Partners with lead SW and HW architects to co-invent optimal HW and SW solutions that come to address requirements. Influences the direction based on experiments and simulation data
Models CPU functionality, performance and/or power in pre-silicon simulators
Defines and runs performance experiments to aid feature definition. Such experiments can be performed on a pre-silicon simulation environment or in a real system or on a combination of both or even in combination with analytical models
Provides experimental/proof of concept for new features and implementation alternatives meeting performance constraints.
Analyzes the bottlenecks of current CPUs on workloads that reflect CPU future usages
Potentially (in the future), lead a team doing above activities
An adequately qualified candidate can also become the leader of definition for some features in addition to all the roles above.
Requirements:
BSc or higher degree in Computer Science/Engineering or related discipline from a leading university. (Alternatively, exceptional proven track record in similar tasks)
3+ years of experience in one or more of following disciplines: development of simulators/emulators for CPUs, definition of CPU features, HW/SW co-design, Low level performance profiling and optimization of SW with exposure to CPU ISA
Fluent spoken and written English
Behavioral skills: Team player. Interpersonal skills needed to collaborate with colleagues towards achieving a technical goal
Advantageous qualifications:
Experience in SW/HW codesign or in definition of new instructions will be a great advantage
Familiarity with dense compute workloads and analysis (e.g., AI, HPC, financial, etc.)
Familiarity with Vector Architectures.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo and Haifa
Job Type: Full Time
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.
In this role, you will help to develop and maintain emulation infrastructure, tools, and workflow methodologies supporting our Application-Specific Integrated Circuit (ASIC) projects. You will provide emulation infrastructure and methodologies for supporting these projects. You will work with other emulation team members as well as designers, verification engineers, and software teams. You will work with our external vendors, lab support teams, networking and security, and Electronic Design Automation (EDA) tooling and methodology teams to deliver emulation-based prototyping capabilities for our ASIC projects. You will also assist in compiling projects specifying our prototyping platforms, debugging issues in both infrastructure and design, supporting the hardware and lab bring up, and verifying our ASIC systems.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company'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 our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Help in maintaining and upgrading emulation infrastructure and act as a primary interface to emulation vendors.
Explore emulation methodologies, gather feedback from the team, and implement emulation workflows and methodologies.
Create tooling and automation to support emulation EDA tools, licensing, and job management in our company infrastructure.
Support emulation team members with debugging hardware, tooling, and project-specific issues.
Help to bring up external interfaces (e.g., USB, PCIe, Ethernet, etc.) on the emulation platforms and create standalone test cases for tool issues encountered in the emulation compile and runtime flows.
Requirements:
Minimum qualifications:
Bachelor's degree in Computer Science, Electrical Engineering, or equivalent practical experience.
Experience with associated EDA tools, automation, and flow enhancements.
Experience using command debug tools (e.g., Verdi, SimVision/Indago, GDB) and programming in C, C++, Perl, TCL, or Python.
Experience with emulation systems, maintenance, upgrades, and methodology enhancements.
Preferred qualifications:
Master's degree in Computer Science, Electrical Engineering, or a related technical field.
Experience deploying EDA tools into distributed environments.
Experience with system administration, networking, and security systems.
Experience with Register-Transfer Level (RTL) design, Verilog, simulation, System Verilog, and assertions.
This position is open to all candidates.
 
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
Location: Haifa
Job Type: Full Time
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, 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
Utilize performance and power models from the architecture team, as well as lab measurements, to validate and tune performance against established goals.
Design and build tests to verify that the System on a Chip (SoC) design meets those goals.
Develop and implement advanced technologies for running "benchmark representations" on pre-silicon environments.
Analyze complex problems, identify core design weaknesses, and drive the resolution of performance issues in both pre- and post-silicon environments.
Develop performance measurement frameworks, including Key Performance Indicators (KPIs), to produce regular reports and dashboards that support stakeholder decision-making.
Requirements:
Minimum qualifications:
Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering, or equivalent experience.
5 years of experience in SoC or Central Processing Unit (CPU) performance and power modeling, analysis, and debugging.
Experience with computer architecture, especially in areas like interconnects, traffic QoS, distributed caches, and I/O flows.
Experience in programming languages such as C, C++, or Similar.
Experience in identifying, troubleshooting, and solving performance problems.

Preferred qualifications:
Experience with hardware description languages like Verilog or SystemVerilog.
Experience in one or more functional areas, such as coherent fabrics (e.g., AMBA CHI/AXI), memory controllers (e.g., LPDDR5, DDR5), or I/O controllers (e.g., PCIe, CXL).
Experience in productizing features that enhance the performance or power characteristics of a design.
Experience in building fast, accurate SoC/CPU performance models in C++.
Experience in pre-silicon and post-silicon analysis and debugging.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo and Haifa
Job Type: Full Time
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 AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company'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 our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Define the SoC/block level design document such as interface protocol, block diagram, transaction flow, pipeline, etc.
Perform Register-Transfer Level (RTL) development (e.g., coding and debug in Verilog, System Verilog), function/performance simulation debug and Lint/Cyber Defense Center/Formal Verification/Unified Power Format checks.
Participate in synthesis, timing/power closure, and Application-Specific Integrated Circuit (ASIC) silicon bring-up.
Participate in test plan and coverage analysis of the block and SOC-level verification.
Communicate and work with multi-disciplined and multi-site teams.
Requirements:
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 reasoning design principles, Register-Transfer Level (RTL) design concepts, and languages such as Verilog or System Verilog.
Experience with reasoning synthesis techniques to optimize Register-Transfer Level (RTL) code, performance and power and design techniques.
Experience in reasoning design and debug with Design Verification (DV).
Preferred qualifications:
Experience with a scripting language like Python or Perl.
Experience with design sign-off and quality tools (e.g., Lint, clock domain crossing (CDC), etc).
Knowledge of System on a chip (SOC) architecture and assertion-based formal verification.
Knowledge of design techniques.
Knowledge in one of these areas: Peripheral Component Interconnect Express (PCIe), Universal Chiplet Interconnect Express (UCIe), Double Data Rate SDRAM (DDR), Advanced Extensible Interface (AXI), ARM processors.
This position is open to all candidates.
 
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
חברה חסויה
Location: Tel Aviv-Yafo and Haifa
Job Type: Full Time
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, 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
Utilize performance and power models from the architecture team, as well as lab measurements, to validate and tune performance against established goals.
Design and build tests to verify that the SoC design meets those targets.
Develop and implement advanced technologies for running benchmark representations on pre-silicon environments.
Analyze problems, identify core design weaknesses, and drive the resolution of performance issues in both pre and post-silicon environments.
Develop performance measurement frameworks, including key performance indicators (KPIs), to produce regular reports and dashboards that support stakeholder decision-making.
Requirements:
Minimum qualifications:
Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering, or equivalent experience.
5 years of experience in SoC or CPU performance and power modeling, analysis, and debugging.
Experience in programming languages such as C, C++, or similar.
Preferred qualifications:
Experience with hardware description languages like Verilog or SystemVerilog.
Experience in pre and post-silicon analysis and debugging.
Experience in one or more functional areas, such as coherent fabrics (e.g., AMBA CHI/AXI), memory controllers (e.g., LPDDR5, DDR5), or I/O controllers (e.g., PCIe, CXL).
Experience in productizing features that enhance the performance or power characteristics of a design.
Experience in building fast, accurate SoC/CPU performance models in C++ with, the ability to identify, troubleshoot, and solve performance problems.
Understanding of computer architecture fundamentals, especially in areas like interconnects, traffic QoS, distributed caches, and I/O flows.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8473578
סגור
שירות זה פתוח ללקוחות VIP בלבד