Technical Lead, System Level Performance Simulation
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In-office locations: Sunnyvale, CA, USA; Durham, NC, USA; Raleigh, NC, USA.
Remote location(s): California, USA; Massachusetts, USA; Oregon, USA; Texas, USA.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development, and with data structures/algorithms.
- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
- 5 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
Preferred qualifications:
- 10 years of experience in driving CPU architecture and design Security Operation Center (SoCs).
- Experience in performance simulation (e.g., SimpleScalar, gem5, Sniper) including developing, correlating and using models.
- Experience with large-scale distributed systems, networking, and related software infrastructure with Operating System (OS) and storage systems.
- Experience with collecting, managing and analyzing large volumes of data and being able to extract critical insights to inform the roadmap.
- Experience in Python, C++ with Object Oriented Programming with computer architecture including low level performance analysis.
- Ability to root cause performance bottlenecks from an end-to-end perspective.
About the job
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, you will work as team leader to set the direction for what, how and why to model and analyze workloads in close conjunction with the silicon team.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. 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 $237,000-$337,000 + 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 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.
Responsibilities
- Serve as technical lead for a team of engineers in developing and maintaining high-fidelity system-level simulation frameworks. Develop the Total Cost of Ownership (TCO) models that allow us to make informed choices.
- Engage with the various infrastructure and Product area teams to help them optimize their workloads on Google platforms by helping the Software teams. Understand the capabilities of the underlying platforms and help them exploit the platform features.
- Collaborate with hardware and software architects to define performance models and benchmarks for Google's custom silicon.
- Motivate the evaluation of different architectural choices and identify performance bottlenecks across various workloads. Develop and implement methodologies for performance analysis and optimization.
- Communicate simulation results and recommendations to key stakeholders, including executive leadership.
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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.
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