Senior Software Engineer, CPU Performance Modeling Engineer
Job Summary
Job Description
- 5+ years software development experience
- 4+ years performance analysis experience
- Experience in performance modeling
- Bachelor's degree in relevant field
- Data structures and algorithms expertise
- Master's or PhD in relevant field
- Experience with high-performance CPU/ML architecture
- Excellent OO, database design, and SQL skills
8 skills required
Job Details
Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer
Science, or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
- 4 years of experience with performance, systems data analysis, visualization tools, or debugging.
- Experience in performance modeling, performance analysis, and workload
characterization.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or other technical related field.
- Experience in modern, high-performance CPU/ML architecture and
micro-architecture.
- Ability and interest to learn other coding languages as needed.
- Excellent object-oriented, database design, and SQL skills.
About the job
In this role, you will work with system teams and the CPU Architecture team to develop an understanding of the CPU, SoC, performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model CPU performance at different accuracy levels by supporting architectural explorations and decision-making. In addition, you will correlate performance projections with measured post-silicon data.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
- Design, develop, test, deploy, maintain, and improve CPU software modeling and other software tools.
- Manage individual project priorities, deadlines, and deliverables.
- Collaborate with hardware and software CPU architecture teams, SOC performance modeling team, and other Google Software teams.
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