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AECOM is seeking a specialized role requiring expertise in hardware systems design and technical leadership within a simulated data center environment. The position involves collaborating across various teams on machine learning and AI hardware systems projects while ensuring successful deployment and manufacturability. Competitive salary and additional benefits are offered.
This is a specialized role requiring physical interaction with hardware equipment in a simulated data center environment, utilizing Google labs, power, and safety equipment. Regular development and processing of engineering hardware must be performed on site.
Minimum qualifications:
Preferred qualifications:
Responsibilities:
The role involves working on Machine Learning/AI hardware systems projects to support current and future data center deployments. You will coordinate with Product teams, ASIC/FPGA, Software, Verification, manufacturing, and field teams to ensure system success and manufacturability.
The Google ML, Systems, & Cloud AI (MSCA) organization designs and manages hardware, software, machine learning, and systems infrastructure for Google services and Cloud. We focus on security, efficiency, and reliability, shaping the future of hyperscale computing, including Google Cloud’s Vertex AI and Gemini models.
The US base salary range is $174,000-$258,000 plus bonus, equity, and benefits. Salary determination considers role, level, location, skills, experience, and education. Specifics will be shared by the recruiter.
Note: Listed salaries reflect base pay only; bonus, equity, and benefits are additional. Learn more about benefits at Google Careers Benefits.
Additional responsibilities include:
Google is an equal opportunity employer and affirmative action employer. We value diversity and inclusion and consider all qualified applicants. For accommodation requests, visit our accommodations form.