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Required Senior Mobile Developer
The opportunity
Step into the role of Senior Developer and help us build innovative solutions that solve challenging technical problems and drive our products to the next level. Youll work hands-on with cutting-edge technologies, architect scalable systems, and collaborate with a like-minded team that values clean code, creativity, and continuous improvement. Your impact will be felt across the entire stack, whether youre optimizing performance or designing robust features that align with our long-term vision. Were all about growthyours and oursand youll have the autonomy, resources, and support to sharpen your skills and bring bold ideas to life. If youre ready to leave your mark and level up both in your craft and career, we want to build it with you.
What you'll be doing
Design and lead complex features for both Android and iOS
Integrate multiple third-party ad networks
Work closely with our server teams to define and build our next-generation solutions
Take part in product definition by working with our product managers.

Our Data Science team leads data-motivated decisions across Waze's core functional areas, including the Waze Map and Map Editor, Advanced Guidance and Voices, Growth and Strategy, User Communications and more. The team members are embedded within the Waze development Squads. We define data requirements and analytics strategies, execute experiments, deliver in-depth analyses and provide actionable recommendations. The teams contribution is crucial for the effective development and safe landing of the new Waze features and help guiding the overall product strategy.
We are responsible for the research and development of advanced experimentation and Causal Analysis infrastructures to measure, understand and attribute features impact. We also own a comprehensive Data Warehouse, providing essential dashboards and analytics tools, including Gen-AI agents, to empower both Data Scientists and stakeholders throughout the organization.
Responsibilities
Develop and implement Measurement Methodologies and Evaluation Frameworks. Assess the performance, accuracy and groundedness of AI Agents, including the automated generation of synthetic training and evaluation data.
Work with various teams including software developers, data engineers and product managers, to define the requirements and implement Gen-AI models and solutions to drive innovation.
Translate technical concepts and investigative findings into clear, actionable insights for both technical and non-technical stakeholders.
Lead the design, development and deployment of Generative AI Agents for conversational driving-related experiences and scaling the ingestion, annotation and utilization of user generated contect and geospatial data feeds.

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.

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.
our company System Infrastructure builds the cloud for our company services and for our company Cloud customers, by solving business test of performance, cost, and scale, utilizing hardware, software, and system solutions.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 customers, 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
Plan the verification strategy, identify the platform to validate reasoning components.
Define the test plan and strategy with stakeholders, including sign-off and exit criteria.
Plan and execute the verification of Internet Protocols (IPs) using dynamic verification and formal verification.

Required Senior DevOps Engineer, Data Platform
The opportunity
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.

our company'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 our companys 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 Central Processing Unit (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 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 customers, 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
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 company Software teams.

Required Senior Backend Scala Developer
The opportunity
Join our team working on an advanced ad-serving platform that powers millions of real-time interactions every second. As a Senior Backend Developer, youll play a key role in designing, developing, and maintaining a high-performance system that supports critical functionalities like targeting, attribution, budget management, and data pipelines for machine learning and reporting.Youll be expected to lead impactful projects, drive improvements in performance, scalability, and system reliability, and help shape solutions that directly influence the success of a globally recognized platform. We value bottom-up initiatives and encourage team members to bring their ideas to the table, fostering innovation and collaboration.
Why You'll Love This Role:
Take ownership of major projects and core features with significant business impact.
Work alongside skilled engineers in a fast-paced, high-scale environment.
Tackle challenging technical problems using cutting-edge tools like Kafka and Aerospike.
What you'll be doing
Design, develop, and monitor new features for the platform, including components supporting targeting, attribution, and budget management.
Maintain and optimize the performance of critical backend systems.
Refactor and improve legacy code to ensure scalability and efficiency.
Lead efforts to guarantee system reliability and low latency in a high-concurrency environment.
Collaborate with peers and across teams to deliver high-quality, production-ready solutions.

Required Senior Android Developer
The opportunity
Join Auras top-tier Android SDK team and take part in building a large-scale mobile SDK. This is a unique opportunity to develop modular, system-level components that integrate deeply with the Android OS and are used by millions of devices globally.
In the short term, your success will be measured by how quickly you onboard, start contributing to core SDK features, and collaborate effectively with the team on high-impact deliverables. Long-term success means becoming a key driver in architectural decisions, owning critical modules, and helping to evolve the SDK infrastructure to support Auras growth at scale.
Youll work alongside top-tier Android engineers in a technically demanding environment where clean architecture, code quality, and innovation are the norm. Your contributions will directly impact product stability, performance, and developer experience.
This role offers a unique blend of technical challenge and strategic impact.
What you'll be doing
Architect, develop, and maintain high-performance SDK components that support modular application development at a global scale.
Collaborate closely with product managers, QA engineers, and cross-functional R&D teams to ensure reliable SDK functionality.
Write high-quality Kotlin code with strong unit/instrumentation test coverage.
Document technical work, onboard new team members, and contribute to developer tooling to improve workflow efficiency.
Participate in defining technical strategy, refactor legacy modules, and improve architecture for scalability and performance.

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 the DFT Engineer Lead, you will play a crucial role in DFT Architecture and DFT design, and support devices to production. You will be responsible for providing technical leadership in DFT, developing flows, automation, and methodology, planning DFT activities, tracking the DFT quality throughout the project life-cycle, and providing sign-off DFT to tapeout.
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 customers, 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
Lead and execute DFT activities in the design, implementation, and verification solutions for Application-Specific Integrated Circuits (ASIC).
Develop DFT strategy and architecture, including hierarchical DFT, Memory Built-In Self Test (MBIST), and Automatic Test Pattern Generation (ATPG).
Work with other Engineering teams (e.g., Design, Verification, Physical Design) to ensure that DFT requirements are met and mutual dependencies are managed.
Manage a DFT team planning, deliverables, and provide technical mentoring and guidance.
Lead DFT execution of a silicon project, planning, execution, tracking, quality, and signoff.

Required Senior Android Developer
The opportunity
Join the innovative and rapidly expanding team, a groundbreaking large-scale mobile platform. We are on the lookout for an exceptional and passionate Android developer to contribute to our fast-paced environment. Our mission involves crafting a content discovery platform, serving millions of users and enabling unique content discovery experiences. Users can effortlessly access and find their favorite content in a simple and user-friendly way.
At Aura, our team leverages the latest and most advanced Android technologies to build a scalable product that is experiencing rapid growth. This presents an exciting opportunity for individuals who are eager to make a substantial impact on a technically challenging product with a vast audience. We highly value team players with technical excellence, a sense of ownership, and the ability to choose the right tools for the tasks at hand
What you'll be doing
Collaborate closely with product managers, architects, DevOps, business intelligence, business, and automation teams within the team to build and execute against a clear roadmap.
Contribute to the Android team by actively participating in all development efforts, including the design, development, testing, and deployment of complex features.
Write code that is clean, scalable, and meets high-quality standards
Engage in regular code reviews and provide constructive feedback to team members, fostering a culture of continuous improvement and knowledge sharing.
Stay updated with the latest trends and advancements in Android development, incorporating innovative solutions and best practices into project workflows to enhance product quality and efficiency.

Required DevOps Tech Lead
The opportunity
As our DevOps Activity Leader, you will join our R&D leadership team to set the technical vision for our infrastructure. Working alongside our Data/ML, Mobile, and Backend leaders, you will play a key role in shaping our company's overall technical strategy.
Your expertise will transform our infrastructure and deployment. You'll design scalable cloud architectures to accelerate innovation, champion a world-class DevOps culture to empower developers, and build the foundation for our future growth.
Strategic Impact: A direct line of sight between your work and key business outcomes, with influence on strategic technical decisions across the entire business unit.
Technical Leadership: Shape the future of our infrastructure and own the architectural roadmap for our cloud and deployment ecosystem.
Innovation Playground: Experiment with emerging technologies and implement solutions at scale in a collaborative, forward-thinking environment.
Technology Breadth: Work across the full DevOps spectrum from Infrastructure as Code and Kubernetes to DataOps and developer productivity tools.
Growth Trajectory: A clear path for career advancement as you demonstrate success and grow your leadership scope.
What you'll be doing:
Lead Technical Strategy: Define the technical vision and roadmap for our DevOps and Production Engineering capabilities, aligning multiple teams around common patterns, tools, and practices.
Design Cloud-Native Solutions: Architect and implement secure, scalable cloud infrastructure using Kubernetes, IaC, and other modern frameworks to power our growing technology ecosystem.
Accelerate Developer Experience: Spearhead improvements to our CI/CD pipelines, developer portals, and internal platforms to empower engineering teams to ship higher-quality software, faster.
Optimize Data Infrastructure: Engineer and support robust platforms for our data-intensive workloads, ensuring the performance, reliability, and cost-effectiveness of systems leveraging technologies like Kafka.
Drive DevOps Transformation: Mentor team members, lead the Production Engineering & DevOps Infra function, and collaborate with fellow R&D leaders to champion modern practices across the organization.

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 Design Verification Engineer, you will work as part of a Research and Development team, and you will build 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 closely with design and verification engineers in projects and perform direct verification. 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 manage 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 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 customers, 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
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/UVM, or Specman.
Identify and write all types of coverage measures for stimulus and corner-cases.
Debug tests with design engineers to deliver functionally correct design blocks.
Lead coverage measures to identify verification holes and to show progress towards tape-out.

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 are customers, 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
Help to maintain and upgrade 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 Electronic Design Automation (EDA) tools, licensing, and job management in our company infrastructure.
Support emulation team members in debugging hardware, tooling, and project specific issues.
Help bring up external interfaces (e.g., USB, Peripheral Component Interconnect Express (PCIe), Ethernet, etc.) on the emulation platforms, and create test cases for tool issues encountered in the emulation compile and runtime flows.

The company Cloud and AI Infrastructure team in Israel focuses on building our company's next-generation systems. The teams work is grounded in creating custom hardware, and as an Intern you'll get to collaborate with engineers from various parts of the organization to influence the future of our company Cloud and the AI infrastructure by working on the foundational technology that makes it all possible. This is the hardware that powers everything from our company Cloud, to our most advanced models like Gemini.
As an intern, you will work on fundamental problems at the intersection of hardware, software, and algorithms. You will collaborate with exceptional engineers and researchers on projects that directly impact our company's custom silicon portfolio, including general-purpose CPUs, highly specialized AI accelerators like our Tensor Processing Units (TPUs), and complex Systems-on-a-Chip (SoCs). Your responsibilities and projects will be tailored to your expertise and could focus on any part of the system stack. This may include:
Algorithmic Innovation: Developing and analyzing new algorithms that are deeply co-designed with our custom hardware.
Software and Compilers: Building the software stack, compilers, and performance analysis tools that unlock the potential of our unique architectures.
System Architecture and Modeling: Architecting and modeling future CPUs, TPUs, and SoCs to guide critical design decisions.
Hardware Design and Verification: Contributing to all aspects of silicon creation, from logic design and verification to VLSI physical implementation.
our company Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our companys cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to our company Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Responsibilities and detailed projects will be determined based on your educational background, interest, and skills.

Were looking for an Automation Infrastructure engineer whos a true tech geek, creative thinker, and great at execution to join our engineering team. If you think about validation as craftsmanship, have satisfaction from delivering high-quality products, always dreamed of being part of building the next generation of Automation Infrastructure technology, and work with some of the top talents in the app economy industry, this is the place.
What you'll be doing
Designing, building, and maintaining our automation infrastructure for our suite of products, ensuring they meet the highest standards of quality and functionality.
Coaching and mentoring team members on best practices for automation, fostering an environment of learning and continuous improvement.
Interact, lead technical discussions with other team members, and collaborate to solve complex issues.