דרושים » תוכנה » Modeling and Performance Simulation Architect, Google Cloud

In this role, you will work with system teams and the CPU Architecture team to develop an understanding of the CPU, System on a Chip (SoC), performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model CPU performance at different accuracy levels by supporting architectural explorations and decision-making. You will correlate performance projections with measured post-silicon data.The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
Responsibilities
Write product or system development code.
Design, develop, test, deploy, maintain, and improve Central Processing Unit (CPU) software modeling and other software tools.
Manage project priorities, deadlines, and deliverables.
Collaborate with hardware and software CPU architecture teams, SOC performance modeling team, and other Google Software teams.

In this position, you will write SoC, system, and sub-systems specifications and requirements for our companys future chips. You will collaborate with Product, SW, and VLSI to explore optimal architectural solutions balancing product and market requirements, HW and SW effort, and non-functional KPIs. You will be tasked to analyze different architectural concepts and own different KPIs of our companys SoC and its subsystems.
Responsibilities
Work with stakeholders to understand their requirements.
Specify system, SW, and HW requirements and architectural features at SoC level, our companys IP and 3rd party IPs integration while conforming to product requirements.
Define pre-silicon data flows, control flows and features combining HW and SW and balancing effort and nonfunctional KPIs.
Evaluate the SoC, sub-systems, and our companys IP performance, and analyze and suggest optimal balancing performance, power, cost and effort.
Evaluate and select third-party IPs for our companys future SoCs.

In this role, you will be responsible for ensuring that the Systems-on-Chip (SoCs) meet the power, thermal, and performance goals. You will play a critical role in the pre and post-silicon validation phases, collaborating with cross-functional teams to identify, debug, and optimize SoC behavior in use cases, as well as validating the IPs protection mechanism.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities
Contribute to developing and improving post-silicon test content that exercises both IP and SoC levels workloads and other compute-intensive scenarios.
Collaborate with architecture, design, and firmware teams to define comprehensive validation plans for SoC features, focusing on power consumption, thermal management, sensors behavior, and performance metrics.
Work with design and firmware teams to propose and implement solutions for optimizing SoC power efficiency and performance, including tuning core-to-memory latencies and bandwidth, power control loops, thermal control loops, etc.
Develop and maintain automated test scripts and frameworks (e.g., Python) to improve validation efficiency and coverage.
Participate in early silicon bring-up and platform bring-up activities, ensuring the stability and functionality of high-power multi-core SoCs.

we are looking for a Senior CPU Architect, Google Cloud
Responsibilities
Lead architectural definition of CPU core designs, facilitate and make final decisions.
Participate in and influence the building of processor performance analysis infrastructure.
Influence the development of architectural models with varying configurations across product categories.
Perform Performance, Power, Area (PPA) trade-off analysis for architecture and microarchitecture features, communicate analysis results in both qualitative and quantitative fashion to support decisions.

In this position, you will oversee system definition and ownership for one of our product lines. You will be in charge of defining system solutions conforming to product, marketing, and customer requirements, with a detailed definition reaching non-functional KPIs. You will closely collaborate with R&D and Business groups to make technical decisions that balance product requirements, timelines, and the complexity of solutions.
Responsibilities
Work with stakeholders to understand their requirements.
Specify system, SW, and HW requirements and architectural features at system and SoC levels while conforming to product requirements.
Define pre and post-silicon data flows and control flows combining HW and SW.
Uncover and resolve design weak spots.
Lead cross-functional system level features and debug system-level bugs.
Write internal and external specifications and technical documentation.

In this role, you will join a Peripheral Component Interconnect Express (PCIe) team and take ownership of post-silicon and pre-silicon validation efforts. You will ensure the Internet Protocol (IP) meets Google's standards while collaborating with cross-functional teams and external vendors.

Responsibilities
Lead or co-lead the PCIe sub system post-silicon logic validation process, including planning, methodology development and co-ordinating with emulation, firmware and testing teams.
Participate in both emulation and post-silicon validation phrases by designing, implementing and excuting tests and tools.
Drive the debugging and resolution of complex silicon issues, collaborating with cross-functional teams across design, architecture, software and firmware.
Analyze validation data to identify trends and root causes and to uncover opportunities for enhancing silicon quality, reliability and performance.

As a CPU Workload Analysis Researcher within Google Cloud's MSCA organization, you will be integral to developing silicon solutions powering Google's direct-to-consumer products. You will join a Research and Development team focused on analyzing and profiling workloads requirements within the Google 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 Google users and Cloud customers.

Responsibilities
Plan and execute detailed analysis of CPU workloads within the Google 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 Google 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.

we are on a mission to reverse the adversary's advantage by empowering defenders with ingenuity and technology to end cyber attacks.
We have the technology, and now we are looking to expand our talent! Come and talk to us about joining a market leader and a diverse team of passionate people who win as one, ensure a customer-first approach is core to everything we do, and never give up on reversing the adversary advantage.
Responsibilities:
Design, develop, and optimize Linux internals and kernel components.
Architect and implement scalable system-level solutions.
Collaborate with cross-functional teams to ensure high-quality software delivery.
Mentor junior developers and provide insights on best practices in Linux and C++ development.
Conduct code reviews to maintain code quality and adherence to industry standards.
Stay current with developments in Linux internals and contribute to our technical strategy.

we are looking for a Data Scientist to join our R&D team. To become part of our journey in helping digital publishers and businesses improve their business growth, empowering meaningful interactions across their digital assets, generating an undeniable increase in revenue, user engagement, conversions, and overall performance.
Long story short, you will:

Design, build, automate, deploy and maintain machine learning production pipelines, utilizing cloud technologies such as cloud AI / Sagemaker.
Building RAG processes and utilizing LLMs for verius needs.
Deploy and monitor models in production (e.g. building artifacts, measuring model drift, etc.).
Implement and evaluate recommender engines and deep-learning techniques, to work in a production environment and run at massive scale.
Apply complex analytical techniques to derive actionable insights with very good communication skills to write and publish internal documentation to be used by technical and business teams.
Design and execute technical processes needed for experimentation to support an array of business problems, including experiment ideation, experimental design, monitoring, data analysis, code review and communication of results.
Keep up with machine learning research and commercial product offerings across a wide variety of machine learning fields
Role Key Deliverables: Own current recommendation engine modeling stack and its development processes (creation/specification of tasks, daily updates and commitment to deliverables), research and deploy incremental improvements.

we are looking for a Senior Software Engineer, Google Cloud Security Operations
Responsibilities
Design, develop and launch projects for our cyber-security response platform, taking full ownership of the the entire development lifecycle, from design to implementation, testing, release, and monitoring.
Collaborate closely with software architects, engineers, product managers, UX designers and other engineering teams to define project scope, gather requirements, and ensure feature development and release.
Participate in code reviews, providing constructive feedback, and ensuring adherence to quality coding standards across our team's components and services.
Identify and address issues, performance bottlenecks and challenges, ensuring the platform can handle increasing data volumes and user demands.