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about the job
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 workload analysis researcher within our company cloud's msca organization, you will be integral to developing silicon solutions powering our company's direct-to-consumer products. you will join a research and development team focused on analyzing and profiling workloads requirements within the company 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 our company users and cloud customers.the ai and infrastructure team is redefining whats possible. we empower our company customers with breakthrough capabilities and insights by delivering ai and infrastructure at unparalleled scale, efficiency, reliability and velocity. our customers, our company cloud customers, and billions of our company users worldwide. we're the driving force behind our company's 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 our company cloud, our company global networking, data center operations, systems research, and much more.
responsibilities
plan and execute detailed analysis of cpu workloads within the company 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 our company 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.

about the job
when leading companies choose our company cloud, it's a huge win for spreading the power of cloud computing globally. once educational institutions, government agencies, and other businesses sign on to use our company cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. you listen and deliver what is most helpful for the customer. you assist fellow sales our company by problem-solving key technical issues for our customers. you liaise with the Product Marketing management and engineering teams to stay on top of industry trends and devise enhancements to our company cloud products.
as a customer engineer, you will work with technical business teams as a Machine Learning subject matter expert to differentiate our company cloud to our customers. you will help prospective customers and partners understand the power of our company cloud, explain technical features, help customers design architectures, and problem-solve any roadblocks. you will also have the opportunity to help customers to leverage specialized Machine Learning (ml) hardware developed by our company , called tensor processing unit (tpu). you will work with customers and product development to shape the future of the platform.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
work with the team to identify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
provide Machine Learning (ml) expertise to support relationships with customers, including product and solution briefings, proof-of-concept work, and partnering with product management to find solutions.
work with customers to demonstrate our company cloud product integrations in customer/partner environments.
recommend integration strategies, enterprise architectures, platforms, and application infrastructure to implement a complete solution using best practices on our company cloud.
travel to customer sites, conferences, and other related events as needed.

we're the driving team behind 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 google cloud, google global networking, data center operations, systems research, and much more.
responsibilities
define the block level design documents such as interface protocol, block diagram, transaction flow, pipeline, and more.
perform rtl development (e.g., coding and debug in verilog, systemverilog, vhsic hardware description language (vhdl)), function/performance simulation debug, and lint/cdc/fv/upf checks.
participate in synthesis, timing/power, and fpga/silicon bring-up.
participate in TEST plan and coverage analysis of the block and SOC -level verification.
communicate and work with multi-disciplined and multi-site teams.

about the job
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 hardware board design engineer, you will own the electrical design of complex high performance computing (hpc) systems. you will drive the development of next-generation ai accelerator boards, ensuring they meet signal integrity, power delivery, and thermal requirements. you will work cross-functionally with silicon (asic), signal integrity, power, mechanical, and manufacturing teams to bring products from concept to mass production.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.  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 the schematic capture and component selection for high-density, multi-layer printed circuit boards (20+ layers) incorporating high-power asics (tpus/cpus), fpgas, and high-speed memory (high bandwidth memory/ddr5).
design and validate high-speed interfaces including peripheral component interconnect express (pcie) gen 6.0/7.0, 400g/800g/1.6t ethernet (pam4). collaborate with signal integrity (si) engineers to define routing constraints and stack-up.
design multi-phase power regulators (vrms) capable of delivering 1000a currents with fast transient response for ai processors.
work closely with pcb layout designers to guide placement and routing of critical signals and power planes.
lead the lab bring-up of first-silicon/first-board. debug complex hardware issues using oscilloscopes, time-domain reflectometers (tdrs), and logic analyzers. root-cause failures to component, assembly, or design issues

in this role, you will help build socs by driving quality and reliability processes from the integrated circuit (ic) perspective. working with various cross-functional teams, you will develop quality and reliability specifications, develop and deploy design guidelines, and develop and execute TEST plans. within the larger organization, you will collaborate with global hardware quality and reliability, silicon design, validation, and engineering teams. you will have an understanding of ic flows, wafer processing, testing, qualification, yield, reliability, and failure analysis.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
define and lead qualification hardware and TEST developments in front of internal teams and external vendors.
define and execute silicon and package qualification activities (e.g., htol, elfr, esd/lu, b/hast, thb, etc.).
extract, manipulate, and analyze large volumes of data from silicon and package qualification programs (e.g., htol, elfr, esd, lu, uhast, tct, etc.), high volume mfg, and field returns to identify failure mechanisms, reliability trends, and opportunities for yield, quality, and reliability improvement.
own cross-functional investigation of ic quality and reliability issues to identify root causes and develop solutions (e.g., rma triage, analytics, failure analysis, etc.).
develop and implement physics-based statistical quality and reliability models (e.g., elf, tddb, nbti, hci, time zero failures, etc.) to predict silicon device failure mechanisms, degradation patterns, and lifetime behaviors.

about the job
be part of a team that pushes boundaries, developing custom silicon solutions that power the future of 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
lead the schematic capture and component selection for high-density, multi-layer pcbs (20+ layers) incorporating high-power asics (tpus/cpus), fpgas, and high-speed memory (hbm/ddr5).
design and validate high-speed interfaces including pcie gen 6.0/7.0, 400g/800g/1.6t ethernet (pam4). collaborate with signal integrity (si) engineers to define routing constraints and stack-up.
design multi-phase power regulators (vrms) capable of delivering >1000a currents with fast transient response for ai processors.
work with pcb layout designers to guide placement and routing of critical signals and power planes.
lead the lab bring-up of first-silicon/first-board by debugging hardware issues using oscilloscopes, tdrs, and logic analyzers to root-cause failures to component, assembly, or design issues.

about the job
be part of a team that pushes boundaries, developing custom silicon solutions that power the future of 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 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
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.

Were looking for a talented and driven Integration Team Lead to join our System Engineering group. In this role, youll lead the integration team, working closely with system engineers, V&V, and other R&D functions to bring cutting-edge technologies into reality.
Responsibilities
Lead and manage the integration team, including task planning, setting priorities and mentoring team members
Be the technical focal point for integration-related activities
Oversee system testing and manage the handover process from Integration to V&V
Lead system bring up activities
Responsible for troubleshooting efforts and resolving problems in a timely manner
Maintain a broad understanding of the entire system and stay up to date with the latest version
Lead by example, motivate, empower and develop team members to reach their full potential
Establish strong working relationships with System Engineering and V&V teams to ensure high-quality delivery
Collaborate closely with multiple cross-functional teams across the organization

We are looking for best-in-class Physical Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company.

What you'll be doing:
You will be responsible for complex physical design unit designs, ensuring integration within our innovative builds.
We expect you to run, debug, and approve PnR and verification flows across multiple projects, ensuring strict adherence to our high standards.
You will perform physical design implementation, planning and optimization, contributing to the development of our groundbreaking chips.

Our Formal Verification (FV) team is seeking a visionary AI Verification Engineer to join our elite Networking Chip Design group. Our team is unique: we define the infrastructure and drive the methodologies for proving the correctness of the worlds most advanced AI and networking architectures. We operate at the cutting edge, leveraging a sophisticated ecosystem of proprietary in-house formal tools and industry-leading vendor EDA solutions.

In this role, you will be a key architect in our "AI-for-FV" evolution. You will work in close collaboration with our internal CAD and Design Technology AI teams to enhance our in-house toolset with artificial intelligence. You won't just be using tools; you will be building the "brains" that sit on top of them-utilizing LLMs and Machine Learning to automate intent-to-proof workflows and debug complex chips with unprecedented speed.

What Youll Be Doing:

In-House Tool Evolution: Partner closely with internal CAD teams to integrate AI capabilities directly into our proprietary FV infrastructure.

Methodology Architecture: Define and evolve the FV teams specialized methodologies, moving from manual property writing to AI-automated assertions.

Next-Gen Orchestration: Develop and integrate AI agents and ML models that interface with our toolchain to automate "intent-to-assertion" workflows and optimize coverage and convergence.

Intelligent Debugging: Create AI-based debug assistants that analyze formal counter-examples, categorize failures, and autonomously suggest fixes for complex logic problems.

Collaborative Intelligence: Act as the bridge between the FV team, Design Technology AI, and CAD groups to ensure our AI solutions provide end-to-end efficiency from RTL to A0 tapeout.

Leadership & Training: Act as the authority on AI integration, training the broader team on how to leverage "human-in-the-loop" AI tools and automated methodologies.

Skincare technology expert Pollogen is a dynamic subsidiary of our company, a global pioneer in energy-based technology for the aesthetics and vision domains with sales in nearly 100 countries, a large and growing installed-base, and strong presence in the US, Europe, and Asia. Pollogen offers a fresh approach to innovation, specializing in professional-grade and home-use devices that provide real results. Combined with our companys six decades of market leadership, 330+ patents, 500+ clinical publications, Pollogen and our company offer the perfect balance of scientific artistry and creative excellence.
Basic Job Purpose
The Project Manager is accountable for end-to-end delivery of multidisciplinary medical device development projects, ensuring alignment between business needs, technical execution, regulatory compliance, and product lifecycle objectives.
Key Responsibilities
Full ownership of product development projects from initiation through market release and lifecycle management
Planning and execution of project scope, budget, resources, milestones, and schedules
Close collaboration with Product, Business Development, and Marketing to translate market and customer needs into technical deliverables
Leadership of multidisciplinary teams, including R&D, software, regulatory, clinical, operations, and external subcontractors
Definition and control of system-level requirements, including hardware, software, and integration aspects
Continuous monitoring of execution, risks, dependencies, and mitigation plans, with proactive decision-making
Enforcement of medical device development processes, quality systems, and regulatory standards across all disciplines
Ownership of development documentation, including DHF, DMR, and software lifecycle documentation
Accountability for verification and validation activities at system, hardware, and software levels
Leadership of transition to manufacturing, including test strategies, production readiness, and change control
Support of regulatory submissions, safety testing, root cause analysis, and implementation of corrective actions.

We are now looking for a Senior HPC Site Reliability Engineer to join our mission and continue improving our HPC infrastructure. A meaningful part of NVIDIAs strength is our unique and advanced development tools and environments that enable our incredible pace of innovation. We are looking for architects to help us evolve the way our private compute cloud is architected and optimized.

What you will be doing:
Provide leadership in the design and implementation of our large-scale compute cloud that enables the world's top chip modelers, designers, and deep learning experts to invent groundbreaking technology.
Identify architectural changes or completely innovative approaches in our cloud architecture and design.
Help with strategic challenges we encounter, including: effective resource utilization in a heterogeneous compute environment, evolving our private/public cloud strategy, capacity modeling, and planning for multi-year growth and scaling across our global computing environment!