Engineering Manager, So C Performance Analysis | Sunnyvale, CA

Detailed Information

  • Location: Sunnyvale, CA

  • Company: Google

As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day.

Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of

large-scale projects across multiple sites internationally. As an Engineering Manager, you will help to grow and team in our location as part of the overall performance analysis organization.

You will work closely with internal system teams and So C architecture teams to develop a comprehensive understanding of the So C we build, the important performance metrics, benchmarks, measuring tools, and available optimization knobs. You will define methods and technologies to model So C performance at different accuracy levels, supporting architectural explorations and decision making. You will then correlate performance projections with measured post-silicon data. Google Cloud accelerates organizations'

ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise.

We deliver enterprise-grade solutions that leverage Google's cutting-edge technology - all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $185,000-$283,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations.

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. Minimum qualifications: Bachelor's degree or equivalent practical experience.

8 years of experience with software development in one or more programming languages (e. g. Python, C, C , Java, Java Script). 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role. Preferred qualifications: Master's degree or Ph D in Electrical Engineering, Computer Engineering, Computer Science, or a related field. Experience working with Hardware and Software teams developing complex So C's. Experience in correlating modeled performance with RTL/Emulation/Silicon. Experience leading project teams and setting technical direction.

Knowledge of one or more of the following areas: CPU, Cache, Interconnect, DRAM, or PCIe. Excellent communication skills, with the ability to work across Hardware and Software teams. - Manage a small team of high-performing engineers. - Develop simulators and architectural models of general compute So Cs. Drive architectural analysis and evaluation of future So C design features. - Collaborate with system architects, So C, and IP architects as well as software and application experts to understand the current and future So C requirements. - Perform pre-silicon performance simulation and correlate with post-silicon measurements.

Communicate analysis results in both qualitative and quantitative fashion. Requisition #: 127205339792581318pca3lyuhf

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