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Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google'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 Design Verification Engineer, you will work as part of a Research and Development team building verification components, constrained-random testing, system testing, and verification closure. As part of our server chip design team, you will verify digital designs. You will collaborate with design and verification engineers in active projects and perform verification. You will be responsible for the full life-cycle of verification which can range from verification planning, test execution or collecting and closing coverage.

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.

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 Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Plan the verification of digital design blocks by fully understanding the design specification and interacting with design engineers to identify important verification scenarios.
Create and enhance constrained-random verification environments using SystemVerilog or formally verify designs with SystemVerilog Assertions (SVA) and industry leading formal tools.
Identify and write all types of coverage measures for stimulus and corner-cases.
Debug tests with design engineers to deliver functionally correct design blocks.
Apply close coverage measures to identify verification holes and to show progress towards tape-out.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

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.

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 Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
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.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google'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 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.

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 Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities
Plan the formal verification strategy and create the properties and constraints for digital design blocks.
Utilize formal property verification tools combined with formal verification closure techniques to verify properties.
Contribute improvements to methodologies to enhance formal verification results.
Architect and implement reusable formal verification components.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google'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 an SoC Design Verification Engineer, you will work as part of a Research and Development team, and your responsibilities will include building verification components, constrained-random testing, system testing, and verification closure. As part of our server chip design team, you will use your design and verification expertise to verify complex digital designs. You will collaborate closely with design and verification engineers in active projects and perform verification. Using your UVM and SystemVerilog coding and problem-solving skills, you'll build efficient and effective constrained-random verification environments that exercise designs through their corner-cases and expose all types of bugs. You will be responsible for the full lifecycle of verification which can range from verification planning, test execution or collecting and closing coverage.

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.

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 Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities
Verify designs using verification techniques and methodologies.
Work cross-functionally to debug failures and verify the functional correctness of the design.
Provide test plans, including verification strategy, environment, components, stimulus, checks, and coverage, and ensure documentation is easy to use.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Core team builds the technical foundation behind Googles flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Googles products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Responsibilities
Write product or system development code.
Create user-facing channels and cross-product experiences which drive ecosystem adoption, and add value to users, across iOS, Android and desktop.
Build the native iOS offering, including experiences on iOS devices focused on increasing engagement with Google products and features and incorporating the latest trends in iOS development and capabilities into Googles apps.
Grow existing products, improve data analytics pipelines and analytics, enhance Machine Learning (ML) capabilities, develop better experimentation capabilities, implement alerting, and improve campaign management.
Improve and scale products by enhancing User Experience (UX), optimizing latency and product quality, and driving experimentation for content improvement.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google'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 SERDES/PCIe Silicon Validation Engineer, you will take ownership on characterization of SERDES analog IPs provided by external vendors. Your job is to assure that the IP is meeting Google high standards. You will work closely with different multi-functional teams within the Silicon organization, as well as external vendors.

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
Perform thorough Lab characterization/Validation of Serializer/Deserializer (SERDES) IPs, such as PCIeG6 PHYs.
Write Inhouse tools/scripts to characterize the IP.
Manage bench test, debug, and characterization of analog/mixed signal on-chip circuitry (PLLs, Clocks, Data Converters and various I/O Interfaces).
Manage the development of benchtop electrical tests exercising on-chip circuitry through a combination of Joint Test Action Group (JTAG), Universal Asynchronous Receiver/Transmitter (UART), Serial Peripheral Interface (SPI), and other analog interfaces.
Draft and execute scripts to automate tests, extract results, and generate reports using database and investigative tools.

Were looking for a Mobile Automation Engineer whos a genuine tech geek, creative thinker, and excellent at execution to join our engineering team. If you think about validation as craftsmanship, have satisfaction from delivering a high-quality product, have always dreamed of being part of building the next generation of Automation technology, and work with some of the top talents in the app economy industry, this is the place.
What you'll be doing
Write, execute, and maintain automated test scripts for functional, regression, and performance testing within CI/CD pipelines to enable continuous testing.
Work closely with developers, product managers, and manual QA engineers in a cross-functional Scrum team to define test strategies, improve testability, and ensure high product quality.
Investigate test failures, report defects, and continuously refine automation scripts to improve reliability and efficiency in detecting issues early in the development cycle.

Join the innovative and expanding team at Unity-Aura, a groundbreaking large-scale mobile platform that serves a wide variety of content, including news articles, games, videos, and more. We are seeking a motivated and detail-oriented Quality Assurance Engineer to ensure our content discovery platform delivers a seamless experience to millions of users. At Unity, you will be part of a dynamic team that combines Android development, backend services, and machine learning into a unified, complex system. This is an ideal role for individuals eager to make a substantial impact on a technically challenging product in a fast-paced environment.
What you'll be doing
Collaborate closely with software engineers, product managers, business intelligence, and UI/UX designer teams to define and execute test plans and cases.
Participate in the development lifecycle, from requirements analysis to post-deployment verification.
Conduct regression, functional, performance, and usability testing.
Perform exploratory testing to ensure a seamless user experience across multiple devices and platforms.
Stay updated with the latest QA methodologies, tools, and best practices.

SuperSonic is hiring a Staff Data AI Lead to lead our AI initiatives.
As a Staff Data AI Lead you will be responsible for leading our organization's AI integration efforts and serving as the bridge between advanced AI technologies and our business needs, implementing cutting-edge Data & AI technologies, creating AI-driven strategies and integrating innovative AI solutions across multiple platforms.

What you'll be doing
Develop and execute AI strategies aligned with business objectives
Advise leadership on AI capabilities and potential applications
Guide teams in adopting AI tools and methodologies
Ensure ethical and efficient implementation of AI technologies
Design and oversee AI-driven process improvements
Collaborate with various departments to identify AI opportunities
Stay current with the latest AI trends and advancements
Conduct AI-related training and workshops for staff
Manage AI projects from conception to implementation
Evaluate and recommend AI tools and platforms
Leading a team of AI engineers

Technical Leadership & Architecture: Drive data infrastructure strategy and establish standardized patterns for AI/ML workloads, with direct influence on architectural decisions across data and engineering teams
DataOps Excellence: Create seamless developer experience through self-service capabilities while significantly improving data engineer productivity and pipeline reliability metrics

Cross-Functional Innovation: Lead collaboration between DevOps, Data Engineering, and ML Operations teams to unify our approach to infrastructure as code and orchestration platforms

Technology Breadth & Growth: Work across the full DataOps spectrum from pipeline orchestration to AI/ML infrastructure, with clear advancement opportunities as a senior infrastructure engineer

Strategic Business Impact: Build scalable analytics capabilities that provide direct line of sight between your infrastructure work and business outcomes through reliable, cutting-edge data solutions

What you'll be doing
Design Data-Native Cloud Solutions - Design and implement scalable data infrastructure across multiple environments using Kubernetes, orchestration platforms, and IaC to power our AI, ML, and analytics ecosystem
Define DataOps Technical Strategy - Shape the technical vision and roadmap for our data infrastructure capabilities, aligning DevOps, Data Engineering, and ML teams around common patterns and practices
Accelerate Data Engineer Experience - Spearhead improvements to data pipeline deployment, monitoring tools, and self-service capabilities that empower data teams to deliver insights faster with higher reliability
Engineer Robust Data Platforms - Build and optimize infrastructure that supports diverse data workloads from real-time streaming to batch processing, ensuring performance and cost-effectiveness for critical analytics systems
Drive DataOps Excellence - Collaborate with engineering leaders across data teams, champion modern infrastructure practices, and mentor team members to elevate how we build, deploy, and operate data systems at scale

The Edge AI group is composed builds Agentic platform designed to support complex scenarios, including RAG. In addition, the group is building Video analysis at the edge and the cloud (Azure Video Indexer) that allows customers to get insights from videos at scale. Products involve cross team collaboration between product managers, data scientists and backend / full stack Engineers



We focus on creating real value for our customers by placing AI efficiently on top of video streams at scale and building a UX that allows organizations to explore, interact with their data and integrate the solution into their own systems.


Individuals in the team get a chance to impact the industry working across various areas, our data science team leads research and implementation of AI components, full stack developers work on cloud and edge technologies from the design until features arrive to the customer. Being at the center of innovation provides great opportunities for engineering excellence in an amazing work environment in a team that will allow you to develop, grow and contribute.
Responsibilities
As a developer, your code will reach Azure resources and extensions, and you will use various technology stacks with the latest tools and methodologies. You will be expected to break down problems, build execution plan, have open mind and eventually be accountable to your code all the way to production. Working in a multi-disciplinary team will require great communication skills and at the heart of it all, alignment with Microsoft values.

Cyber-attacks are increasing in volume and sophistication, evading traditional defenses, and posing a growing risk to enterprises from outside criminal organizations and malicious insiders in the organization. The Microsoft 365 Defender suite leverages the Microsoft 365 security portfolio - including Microsoft Defender for Endpoint, Office, Cloud Apps and Identity, as well as Microsoft Sentinel and XDR - to automatically analyze threat data across domains, building a complete picture of each attack in a single dashboard to monitor, hunt, detect and remediate threats. With this breadth and depth of clarity defenders can now focus on critical threats and hunt for sophisticated breaches, trusting that the powerful automation in Microsoft's security products detects and stops attacks anywhere in the cyber-attack kill chains and returns the organization to a secure state. Join our team of engineers to develop cutting edge detection and remediation systems. Be a part of defining and shaping the next big leap in the product's journey. We use state of the art cloud technologies, big data solutions and AI at hyper scale and modern UX platform to deliver the highest value for our customers. If you're passionate about cyber security like us, and if you live and love data, want to make the world a safer place for millions of customers, love creating products for and with customers and are a team player - come join us. Our team values diversity of all types in candidates for our roles and we strive to hire people with different experiences and perspectives into our team. To that end, we know that no candidate has every desired skill and experience, but all of us together makes our team strong.
Responsibilities
As an engineer on our team, you will be working on cutting edge technologies to deliver exciting new features that impact and protect millions of users, with cross-team and cross-discipline collaboration (engineering, PM, design, research and data science). You will work closely with experienced engineers and be part of an agile and fast-moving development team - and will have a role in mentoring your more junior peers and helping them succeed. You will be expected to apply a critical view of our infrastructure, technologies and development process, proactively pushing to improve the product and our group. Our group is consistent from both feature teams and platform teams and we are looking for candidate with passion in either or both.