דרושים » הנדסה » Quality and Reliability Engineer, Modeling and Data Analysis, Google Cloud

Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users.

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
Collaborate with Design, Architecture, Process Technology, and Silicon Engineering teams to develop new product bring-up, verification, characterization, qualification strategies, and manufacturing test solutions for new High Performance Computing (HPC) products in advanced manufacturing technologies.
Verify test solutions on pre-silicon models (i.e., simulation or emulation).
Develop and validate test programs on Automated Test Equipment (ATE) platforms in preparation for High Volume Manufacturing, working with ATE Vendor and internal cross-functional teams.
Support product sustain, including volume data analytics, test time, and yield improvements. Assess test escapees and Return Merchandise Authorization (RMA), localize failures, implement containment measures in the manufacturing test flow, and partner with manufacturing, quality and reliability teams to implement root cause corrective actions.

Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users.

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
Collaborate with Design, Architecture, Process Technology, and Silicon Engineering teams to develop new product bring-up, verification, characterization, qualification strategies and manufacturing test solutions for new High Performance Computing (HPC) products in advanced manufacturing technologies.
Verify test solutions on pre-silicon models (simulation or emulation).
Develop and validate test programs on Automated Test Equipment (ATE) platforms in preparation for High Volume Manufacturing, working with ATE Vendor and internal cross-functional teams.
Support product sustain, including volume data analytics, test time and yield improvements, assess test escapees and Return Merchandise Authorization (RMA) returns, localize failures, implement containment measures in the manufacturing test flow, and partner with manufacturing, quality and reliability teams to implement root cause corrective actions.

Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users.

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
Collaborate with Design, Architecture, Process Technology, and Silicon Engineering teams to develop characterization and manufacturing test solutions for new High Performance Computing (HPC) products in advanced manufacturing technologies.
Validate test solutions on system-level platforms and prepare for mass production.
Work with hardware and software teams to evaluate functional device yield and performance across various operating conditions, characterize hardware/software interaction, and develop effective production screens to reduce Defective Parts per Million (DPPM).
Assess test escapees and RMA returns, localize failures, implement containment measures in the manufacturing test flow, and partner with manufacturing, quality, and reliability teams to implement root cause corrective actions.

Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users.

In this role, you will work with internal system teams and the System-on-Chip (SoC) Architecture team to develop an understanding of the SoC, performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model SoC performance at different accuracy levels by supporting architectural explorations and decision-making. In addition, you will correlate performance projections with measured post-silicon data.

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
Develop simulators and architectural models of general-compute SoCs.
Collaborate with system architects, SoC and IP architects/designers, and software and application experts to understand current and future requirements.
Participate in architectural and design evaluation of SoC designs.
Perform pre-silicon performance simulation and correlate with post-silicon measurements.
Communicate analysis results qualitatively and quantitatively.

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.

Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies.

In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical and good people.

Were looking for a Data Architect to help our Data Engineering and Data Science teams become more productive, define and lead POCs of data processing, ML and LLM technologies, improve our Data Lake and optimize our data serving platform.

This role will report to VP R&D.

Why is this role so important at Similarweb?

Our R&D team transforms petabytes of data into digital insights for our customers, on a daily basis. This means that we are always on the lookout for new ways to make those processes more efficient, reliable, and scalable.

We are looking for a Data Architect to define the optimal way of processing data, developing new algorithms, and sharing data between different R&D departments and with our customers.

You will impact the work of hundreds of engineers and data scientists in Similarweb, by defining and implementing most suitable ways of data processing and influence our customers by providing top notch infrastructure for a flawless data delivery.

So, what will you be doing all day?

Your role as Data Architect means your daily responsibilities may include:

Define and implement standards and best practices for data engineering teams
Lead improvements to our data processing infrastructure
Research, POC and implement new data technologies
Improve our Data Lake
Mentor data processing and data delivery teams

required Data Infrastructure Engineer
Job Description
Design, build, and maintain scalable data solutions and infrastructure to support data processing, data quality and data tools for different data professionals and consumers in the organization

Develop and maintain generic processes to ingest data automatically from various sources into our data lake/data warehouse

Lead end to end projects in the data infrastructure group, working closely with users and leaders from the Data Engineering Guild

Collaborate with cross-functional infrastructure teams to integrate data engineering solutions into our products and services to create high-quality deliverables

Stay up-to-date with the latest trends and technologies in data engineering and recommend best practices to improve our data infrastructure

Meta is seeking AI Software Engineers to join our Research & Development teams. The ideal candidate will have industry experience working on computer vision related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations.
Software Engineer, Computer Vision - Reality Labs Responsibilities
Apply relevant AI and machine learning techniques to build intelligent rich visual systems that improve Meta's products and experiences
Assist in goal setting related to project impact, AI system design, and ML excellence
Drive large efforts across multiple teams
Mentor other AI Engineers & improve the quality of AI work in the broader team
Develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches
Apply in-depth knowledge of how the machine learning system interacts with the other systems around it

Our team is looking for a high performance Solutions Architect with an entrepreneurial mindset. As a Solutions Architect, you will lead the advertising industry by enabling clients to realize the full potential of Meta's marketing solutions and even defining new solutions. You will work with marketing executives at top-tier companies on their industry-leading advertising initiatives, translating their business goals into an execution plan using Metas suite of cutting-edge advertising platform. This role will allow you to apply your passion for problem solving to achieving real-world marketing results at Meta scale.
Solutions Architect Responsibilities
Act as a technical consultant and subject matter expert on Meta's marketing technology solutions for the marketing organizations at some of the most innovative companies in the world
Guide our clients to the most optimal implementations by walking them through the technical details Meta's advertising platform and products
Work closely with sales teams to unlock and develop new opportunities by developing a deep understanding on business goals and industry trends
Influence the marketing industry through technology by participating in industry conferences and presenting to executive-level audience
Understand and apply knowledge of products, technologies and business to build solutions to solve for problems at scale
Independently break down coding projects into tasks and partner with all applicable teams and partners to meet pre-established goals
Build relationships with team members and cross functional partners
document and share project updates and insights
influence decision-making through presentation of data-centric business topics
Participate in interviewing and on-boarding of new team members
Willingness to travel 25% of the time