Mechanical Engineer, Advanced Analytics

Mechanical Engineer, Cooling System Design and Analysis Benefits for this role include: Health, dental, vision, life, disability insurance Retirement Benefits: 401(k) with company match Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary) Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year. By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Austin, TX, USA; Addison, TX, USA; Kirkland, WA, USA; New York, NY, USA; Reston, VA, USA; Seattle, WA, USA . Qualifications Bachelor's degree in Mechanical Engineering or equivalent practical experience. 10 years of experience with mechanical infrastructure systems and researching merging technologies. Experience with Computational Fluid Dynamics (CFD), energy modeling software, hydraulic analysis, thermal digital twins, Google Product Suite. Experience with design, commissioning, and testing of cooling/heating/power generation systems. Experience leveraging test data to validate and optimize mechanical systems. Preferred Qualifications PhD in Mechanical Engineering or a Professional Engineering (PE) license. Experience with thermal analysis and data center cooling systems. Experience in innovating and developing advanced thermal system models in mission critical applications. Experience creating data center thermal digital twins. Proficiency in Python, ATK Fathom, Modelica or equivalent. About the job Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department—cutting‑edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state‑of‑the‑art, environmentally‑friendly facilities. You generate ideas, communicate recommendations to senior‑level executives and drive implementation alongside facilities technicians. With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical). The Thermal Systems Engineering team stands at the forefront of accelerating innovation that powers Google’s global infrastructure. As a Mechanical Research Engineer on the Data Center Technology Systems (DCTS), a multidisciplinary group of engineers and architects dedicated to designing next‑generation data centers, you will play a key role in developing, analyzing, and optimizing the mechanical cooling infrastructure. You will use various analytical tools to reveal important data points in the design process for efficient mechanical systems. You will be an excellent communicator, able to articulate complex ideas concisely across all digital mediums and provide recommendations to cross‑functional engineers and architects to enhance our data centers’ mechanical systems and accelerate construction. The US base salary range for this full‑time position is $171,000–$248,000 plus bonus, equity and benefits. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Responsibilities Develop chip‑to‑chiller steady‑state and transient models to optimize performance and predict complex failure modes through system‑level energy and failure analyses. Investigate and innovate next‑generation mechanical systems and emerging cooling technologies using thermodynamic principles to align with the strategic company objectives. Create system‑level concepts and schematic designs while guiding technology engagement through cross‑functional collaboration with Engineering and Operations teams. Perform evaluations factoring in capital expenditure (Capex) and utility consumption to vet proposals from internal innovators, research institutes, and external suppliers. Author technical documentation and white papers to present research findings to leadership, ensuring infrastructure is optimized for the evolving demands of the machine learning fleet. Equal Employment Opportunity Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google’s EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire. English Proficiency 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. Recruitment Agency Notice To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr Google Inc.