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We are looking for NPI Engineer who will join the operation team and help us scale onwards!
The NPI product leader will be responsible for transitioning new products from early stage development to production level till field deployment processes. Work with cross functional teams ranging from HW designers, systems engineers, marketing and operations teams and participate in the complete product life cycle from development through build prototype until handing off the product to sustaining engineers.
The NPI product leader will manage all engineering related activities of QMs new products. The NPI PL will have a full responsibility on the overall operational activities to ensure qualified manufacturing readiness of new products.
Responsibilities:
Lead cross functional teams to execute the NPI process within the operations group.
Set an overall Operational NPI plan, Set Ops KPIs, Track and follow project progress, manage risk and report accordingly.
Define the NPI methodologies, interfaces, and process within the operation matrix to ensure smooth product introduction
Providing engineering leadership for the definition and scoping of NPI projects for all aspects of manufacturing and transitioning of projects to Manufacturing for project implementation and subsequent operation.
Ensure Design for Manufacturing guidelines are well implemented in the product design and validate implementation impact on product quality
Overall accountability of production data integrity including: BOM, production documentation, jigs and tools, product regulation.
Establishing and documenting process specifications that ensure manufacturing operations will meet product capability and quality expectations.
Analyze and recommend improvements to all production processes and methods to facilitate cost reduction and quality improvement through engineering change requests
Prepare plans for all NPI projects and coordinate with all stakeholders to ensure a good quality product represent the operations in the product life cycles gates
Serve as a technical mentor to contract manufacturing during NPI process

We are seeking a highly skilled Hands-On Engineer to join our Integration Team, ensuring seamless integration of multi-layered systems. This role requires close collaboration with cross-functional teams to debug, validate, and integrate complex interfaces while ensuring end-to-end functionality.
Key Responsibilities:
Integration of multi-disciplinary systems, ensuring smooth operation across different layers.
Debug and troubleshoot issues arising in the integration process.
Develop integration and validation tools.
Collaborate with architecture, logic design, verification, compiler, and embedded teams.

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.