Staff Thermal Manufacturing Engineer
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Minimum qualifications:
- Bachelor's degree in Mechanical Engineering, Industrial, Process, or Manufacturing Engineering, or related discipline or equivalent practical experience.
- 10 years of experience in process, design, or product development for mechanical assemblies.
Preferred qualifications:
- Master's degree or PhD in Electrical, Mechanical, Industrial, Materials, or a related engineering field.
- 12 years of experience in manufacturing, quality, or product engineering for hardware technology and systems.
- 3 years of experience in a technical leadership role.
- 2 years of relevant process or product development experience for thermal assemblies for small to large electronic systems.
- Experience in technical leadership, project management, and executive communication.
- Experience with machining, welding, brazing (furnace, vacuum), soldering, sintering, stamping, skiving, assembly, die casting, injection molding, leak detection, test design and product testing, quality control, equipment and fixture design.
About the job
The Thermal Manufacturing Engineering team delivers cooling solutions for Google Cloud responsible for serving all of Google's functions and customers. Be part of a team that pushes boundaries, developing custom cooling solutions for the future of Google Cloud's computing and machine learning. Your expertise will shape the next generation of hardware, delivering unparalleled performance, efficiency, and scale.
As s Staff Manufacturing Engineer for thermal products, you will be a technical lead for process and product development for cooling solutions for all of Google's compute hardware, including the largest liquid cooled compute fleet in the world serving all of Google's internal and external Cloud customers. Using a deep understanding of manufacturing processes such as machining, welding, brazing, stamping, assembly, and skiving, you will enable product design and development for next generation thermal solutions at scale. With a background in industrial engineering, you will not only help guide qualification new processes and suppliers but you will also guide teams to optimize designs, production processes, lines, and vendors to help build better supply chains. With an understanding of design methods, tools, and requirements, you will advocate for team efforts to provide DFx feedback, tolerance stack analysis, and thermal design considerations to enable manufacturing, automation, and scalability.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google'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 Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
The US base salary range for this full-time position is $171,000-$248,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Work on the most challenging, open-ended manufacturing issues where solutions are not well-defined. This includes issues related to yield, quality, cost, scalability, and New Product Introduction (NPI).
- Serve as a go-to technical expert within a significant area of manufacturing engineering (e.g., automation, test, process development, DFX).
- Help define the medium and long-term technical strategy and manufacturing architecture for scalability and robustness and influence the supply chain selection for next generation hardware to support Google Cloud and machine learning.
- Drive initiatives that result in step-change improvements in cost, quality, efficiency, or capabilities.
- Lead and influence across multiple teams, including Hardware Engineering, Product Design, Supply Chain, Operations, and Quality, to optimize product designs and manufacturing processes even in competing priorities.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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