Minimum qualifications:

• Master's degree in Mechanical Engineering, Product Design, a related field, or equivalent practical experience.
• Relevant academic, internship, work, or personal project experience designing mechanical components (e.g., cooling systems, plastic or metal parts, mechanical assemblies, printed circuit boards, or flexes).
• Experience using computer-aided design (CAD) tools and analysis tools (e.g., 3D MCAD, NX, Creo, Solidworks, ANSYS, or other FEA tools).

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Preferred qualifications:

• PhD degree in Mechanical Engineering, Product Design, a related field, or equivalent practical experience.
• Experience in mechanical design, liquid cooling, and analysis in a hyperscale data center environment.
  
• Experience in mechanical engineering and design principles with specific expertise in the areas of design for medium-scale production, sheet metal and injection molding, structural and thermal analysis.
  
• Experience in designing complex electro-mechanical assemblies with an understanding of mechanical tolerances and tolerance analysis.
  
• Knowledge of chip/socket/cooling solution stack-ups, structural behavior, and reliability.
  

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About the job

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Our computational challenges are so big and unique we can't just buy our hardware, we've got to make it ourselves. Our Platforms Team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Mechanical Engineer you design and evaluate our data center systems, identifying product requirements and contributing to research and project planning. From the chip to chiller, you are responsible for designing and optimizing an architecture that will scale with Google's continued growth.

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As a key member of the team, you design and evaluate systems, identify product requirements, prepare system-related documentation and contribute to research and project planning.

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Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product services possible.

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Platforms designs, builds, and collaborates on the hardware, software, and networking technologies that power all of Google's services. As a Product Design Engineer, you will design new components, servers, storage devices, and specialized machine learning hardware for Google's data centers, ensuring they meet Google's requirements for performance, security, reliability, and features.

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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.

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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 Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

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The US base salary range for this full-time position is $105,000-$151,000 + 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.

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Responsibilities

• Own and design entire product design life-cycle including requirements gathering, concept generation, detailed design with analysis, verification testing, cross-functional reviews, and manufacturing release.
  
• Develop and execute designs for complex systems backed by thorough engineering analysis.
  
• Create test plans, perform testing, and validate designs to meet engineering requirements and troubleshoot, root cause, and resolve potential technical issues.
  
• Influence the products by providing mechanical and product design engineering expertise into the technology road-map with data-driven decisions. Identify and scope projects around innovation opportunities as well as technology risks.
  
• Provide engineering knowledge and mentor team members.

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