Software Engineer, Performance Modeling

Google

Raleigh, NC

Full Time

Mid Level

141k-202k

about 2 months ago

Job Description

About the Role

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.

Key Responsibilities

Develop and contribute using C++ or Python.
Develop and maintain performance models of our systems.
Conduct simulations and analyze results to identify performance.
Collaborate with cross-functional teams to propose and implement performance improvements.
Stay updated with the latest developments in performance modeling and simulation.

Requirements

Bachelor's Degree in Computer Science or equivalent practical experience.
Experience coding in any one of the following languages: C++ or Python.
2 years of experience in software development, and with data structures/algorithms.
2 years of experience of Performance Analysis or Performance Engineering of systems.

Nice to Have

Master's Degree or Ph.D. with an emphasis on performance evaluation, performance engineering or performance analysis.
5 years of experience with software development in C++ or Python.
Experience working with and developing with performance modeling and simulation.
Experience with computer architecture, especially System on a Chip (SoC) architecture.
Experience in root causing performance bottlenecks.
Experience in statistical analysis tools including machine learning.

Benefits & Perks

US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits.
Our salary ranges are determined by role, level, and location.
Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
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.

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