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Required Design and Power Methodology Manager, Servers, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our 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 part of our Server Chip Design team, you will use your ASIC design experience to be part of a team that creates the SoC VLSI design cycle from start to finish. You will collaborate closely with design and verification engineers in active projects, creating architecture definitions with RTL coding, and running block level simulations.
As a Design and Power Methodology Team Manager within the Server Chip Design team, you will be responsible for managing and leading design and power methodologies from IP to SoC, pre and post silicon. You will be responsible for mentoring and developing team members and tech leads while driving improvements in leadership, technical execution, and design flows.
You will work closely with CAD vendors and internal teams to develop lead design and power methodology and execution.
Responsibilities
Manage a team of tech leads and designers. Develop and mentor team members, and communicate and co-work with multi-disciplined and multi-site teams.
Lead flow and methodology development and assimilation across multiple groups. Work closely with CAD tool providers as well as internal CAD teams.
Plan, execute, track progress, assure quality, and report status.
Work closely with internal customers and support multiple activities and deliverables.
Drive design methodologies such as design construction, CDC, RDC, SDC. Drive power at: IP and SoC RTL/Gate Level Optimization, estimation, correlation.

Required Senior SoC and IP Design Engineer, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our 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.
Responsibilities
Define the block-level design document (e.g., interface protocol, block diagram, transaction flow, pipeline, etc.).
Perform Register-Transfer Level (RTL) coding (coding and debug in Verilog, SystemVerilog), function/performance simulation debug, and Lint/CDC/FV/UPF checks.
Participate in synthesis, timing/power closure activities.
Participate in test plan and coverage analysis of the block and SoC-level verification.
Communicate and work with multi-disciplined and multi-site teams.

Required Hardware Emulation Technical Lead, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our 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 mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of our AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.
Responsibilities
Define the emulation strategy, identify platforms and technologies to support all customers.
Explore emulation methodologies, gather feedback from customers, and implement emulation workflows at scale.
Support emulation customers with debugging hardware, software, tooling, and project-specific issues.
Create tooling and automation to support emulation tools, licensing, and job management in our infrastructure.
Act as a primary interface to emulation vendors.

Required Senior Staff DSP Design Engineer, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our 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 architect for high-speed data paths, you will define the roadmap for scaling interconnect speeds. You will evaluate and select key technologies such as Co-Packaged Optics (CPO), advanced modulation formats, and new Forward Error Correction (FEC) methods to support future Artificial Intelligence (AI) computing clusters.
Responsibilities
Identify the "limits of physics" for current Digital Signal Processing (DSP) architectures and pivot the team toward next-generation solutions, such as Machine Learning (ML)-based equalization or Optical-specific DSP.
Define the requirements for DSP test chips to validate new architectures in advanced nodes before they hit production.
Drive the long-term power-reduction roadmap, ensuring our interconnects do not become the thermal bottleneck.
Represent us in the Optical Internetworking Forum (OIF) and Institute of Electrical and Electronics Engineers (IEEE) standards, ensuring our hyperscale requirements for latency and power are reflected in global specifications.

Required Senior Silicon Physical Design Engineer
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our 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 customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Cloud customers, and billions of users worldwide.
We're the driving force behind our 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 Cloud, 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.

Required RTL Design Technical Lead, Servers, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our 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 part of our Server Chip Design team, you will use the ASIC design experience to be part of a team that creates the SoC VLSI design cycle from start to finish. You will collaborate with design and verification engineers in active projects, creating architecture definitions with RTL coding, and running block level simulations.
The ML, Systems, & Cloud AI (MSCA) organization designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our services (Search, YouTube, etc.) and Cloud. Our end users are Googlers, Cloud customers and the billions of people who use our 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 Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Lead the Design Activities at IPs, SubSystems(S.S) and SoC.
Plan, execute, track progress, assure quality, report status of the assigned activity.
Lead a team of designers both directly and in teams.
Define the Block/SoC level design documents such as Micro Architectural Specifications.
Own IP, S, SoC strategies for clocks, resets, and debugs. Enforce global methodologies and drive enhancements.

Required Senior SOC Performance Engineer, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our 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 mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of our AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.
Responsibilities
Validate performance and power models from the architecture team and lab measurements against established goals, exercise open source benchmarks, analyze the results, and identify optimization opportunities.
Design and build tests to verify SoC design meets targets, and implement advanced technologies for running "benchmark representations" on pre-silicon environments.
Analyze problems to identify core design weaknesses, and drive resolution of performance issues in both pre- and post-silicon environments.
Collaborate closely with design, validation, and architecture teams to ensure hardware and software designs interface correctly and deliver products.
Develop performance measurement frameworks, including Key Performance Indicators (KPIs), to produce regular reports and dashboards that support stakeholder decision-making, and drive efforts to productize features that improve performance and power characteristics.

We are seeking a highly motivated and dynamic Technical PM to join our Platform Software department and play a key role in shaping the future of autonomous driving systems.
This is a unique opportunity to work with top-tier engineering teams and take part in the development of our most advanced systems.
What will your Job look like?
Lead the end-to-end execution of project deliverables, including requirements definition, planning, execution, and delivery
Drive and participate in technical discussions, proactively remove obstacles, and act as both the unifying force within the team and the leader setting direction
Ensure timely and high-quality delivery of complex, multidisciplinary projects
Coordinate work across a large cross-functional organization, covering diverse aspects of the system: from algorithm acceleration to sensor integration, from OS development to advanced in-vehicle visualization
Represent the group in project-level forums, prepare status reports, and communicate effectively with senior management
Collaborate closely with R&D groups, engaging in technical discussions within a highly multidisciplinary environment.

The Operating System Team is looking for a highly talented Embedded SW Integration Engineer with a passion for operating systems and Linux in specific.
The team is developing the Boot and Operating System SW for our autonomous vehicle and smart advanced driver assist platforms.
What will your job look like?
Hands-on debugging and testing of OS and related components (Boot, HW initialization, Device drivers, Linux Kernel, User space libraries and tools & automated tests in python).
Deep understanding of the involved OS/Boot components and their integration with other SW/HW modules involving testing automation and system level validation.
Closely work with members of the Boot and OS development teams to integrate, test and automate new features, components and systems.
Release & feature management in a multi-project and multi-disciplinary environment while managing CI systems for testing coverage.

Our Software Group is looking for an experienced Python Infrastructure Tech Lead to join our Software Infrastructure Team.
Our group is responsible for the full software stack running in the vehicle, as well as the development tools and infrastructure that support it. We build and maintain a large-scale automation and infrastructure platform that serves multiple engineering teams across.
In this role, you will lead the architecture, design, development, and maintenance of high-quality Python-based infrastructure and applications. You will collaborate closely with software engineers, system architects, and project stakeholders to deliver robust, scalable, and innovative solutions that directly impact our core automotive technologies.
What Will your Job Look Like?
Lead technical improvements and proactively enhance system performance, scalability, and developer productivity.
Take ownership of system architecture and technical design, from high-level design to implementation.
Collaborate with cross-functional teams to define, design, and ship new features.
Develop and maintain Python applications for various projects.
Optimize applications for maximum speed.
Write clean, efficient, and well-documented code.
Troubleshoot and debug issues as they arise.
Stay up-to-date with the latest industry trends and best practices.
Help shape a structured, collaborative, and improvement-driven engineering culture.

The Software group is looking for an excellent experienced DevOps engineer to join the Software infrastructure team.
Our software infrastructure CI Team is responsible for maintaining various CI flows and maintaining the high quality of the software and system products.
Your expertise will contribute to our ongoing intensive development process while maintaining live production.
Join us to make a difference in how the world drives!
What will your job look like?
Design, implement, and maintain CI infrastructure and automation tools to support scalable development.
Work hands-on with technologies such as Jenkins, GitLab, Kubernetes, Python, Groovy, and Bash.
Collaborate with multiple engineering teams to understand their CI/CD needs and provide high-quality solutions.
Lead technical improvements and proactively enhance system performance, scalability, and developer productivity.
Troubleshoot complex issues across infrastructure and code, and continuously drive innovation and process optimization.
Help shape a structured, collaborative, and improvement-driven engineering culture.

We are seeking a motivated Formal Verification Engineer to join our team and contribute to development of hardware verification environments.
This position offers an opportunity to apply formal methods to verify the correctness of various complex digital systems.
This is an exciting opportunity to join a team of talented engineers, working cutting edge technologies in the field of autonomous vehicle.
What will your job look like:
Be the owner of formal verification environment from first draft to sign-off stage
Apply formal methods to verify the correctness of various complex digital systems
Work with HW architects/designers to define assumptions, rules and cover properties
Help define the formal verification methodology and environment to be applied by the team
Explore new Formal methods and Tools
Work with tools like Cadence JasperGold, Verisium manager, Xcelium, Indago
Analyze verification results, identify bugs, and collaborate with engineers to resolve design issues
Develop generic formal blocks/functions of commonly used logic, to be later used off the shelf.

As an ML Software Engineer with a focus on low-level and CUDA-based optimizations, you will play a key role in shaping the design, performance, and scalability of machine learning inference systems. Youll work on deeply technical challenges at the intersection of GPU acceleration, systems architecture, and ML deployment.
Your expertise in CUDA, C/C++, and performance tuning will be crucial in enhancing runtime efficiency across heterogeneous computing environments. Youll collaborate with designers, researchers, and backend engineers to build production-grade ML pipelines that are optimized for latency, throughput, and memory use, contributing directly to the infrastructure powering next-generation AI products.This role is ideal for an engineer with strong systems-level thinking, deep familiarity with GPU internals, and a passion for pushing the boundaries of performance and efficiency in machine learning infrastructure.

Responsibilities
Design and implement highly optimized GPU-accelerated ML inference systems using CUDA and low-level parallelism techniques
Optimize memory, compute, and data flow to meet real-time or high-throughput constraints
Improve the performance, reliability, and observability of our inference backend across diverse compute targets (CPU/GPU)
Collaborate with cross-functional teams (including researchers, developers, and designers) to deliver efficient and scalable inference solutions
Contribute to ComfyUI and internal infrastructure to improve the usability and performance of model execution flows
Investigate performance bottlenecks at all levels of the stack-from Python to kernel-level execution
Navigate and enhance a large, complex, production-grade codebase
Drive innovation in low-level system design to support future ML workloads

We are looking for a skilled and motivated experienced RT Systems Integration & Release Manager to lead an systems integration team and own the end-to-end integration and release process for real-time embedded products.
This role is responsible for defining integration workflows, managing team execution, and ensuring that system releases are stable, predictable, and aligned with quality and delivery commitments.
The ideal candidate combines deep embedded systems expertise, strong people leadership, and disciplined release and process management.
What will your job look like:
Directly manage and mentor a team of RT systems integration and release engineers.
Define, implement, and continuously improve the RT system integration and release management processes.
Establish standard workflows, best practices, documentation, and quality gates.
Ensure consistent execution of integration activities across projects.
Drive alignment to integration processes across firmware, software, hardware, QA, and system validation teams.
Identify integration risks early and implement mitigation strategies.
Lead system-level integration of real-time hardware and software.
Manage system debugging, and root-cause analysis of complex integration issues.
Oversee validation, verification, and system-level testing activities.
Communicate progress, risks, and mitigation strategies to stakeholders and leadership.

Were looking for a highly skilled Full Stack Developer to join our engineering team. In this role, youll design, develop, and maintain both backend and frontend systems that power our production and internal applications. Youll work across teams to deliver user-facing features end to end, building scalable, high-availability solutions that support production environments and future web-based platforms.
What will your job look like?
Design, develop, and maintain scalable backend services primarily using Node.js (and Python where applicable), applying modern web frameworks and industry best practices.
Build rich, responsive user interfaces using React, Angular, or Vue.
Develop end-to-end features, integrating frontend and backend components into cohesive, production-ready solutions.
Design and manage databases (SQL and NoSQL), focusing on performance, reliability, and solid data modeling.
Support and enhance production applications, ensuring high availability, resilience, and smooth operation across environments.
Build, containerize, and deploy applications using Docker and Kubernetes in Linux-based setups.
Implement and maintain CI/CD pipelines using GitLab CI for automated testing, integration, and deployment.
Work with AWS services to deploy, monitor, and scale cloud-based applications.
Contribute to system architecture, participate in code reviews, and mentor junior developers when needed.
Collaborate closely with product, design, and cross-functional engineering teams to deliver high-quality user experiences.