Mechanical Engineer, Advanced Analytics
$171k - $248kIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. 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. Note: 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 . Minimum 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 thea 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're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. 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. 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 portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. 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 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), 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. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special needs that requires accommodation, please let us know by completing our Accommodations for Applicants form. #J-18808-Ljbffr Google
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