Software Engineer, Performance Modeling

1 Week ago • 2-5 Years • Artificial Intelligence • $141,000 PA - $202,000 PA

Job Summary

Job Description

This Software Engineer, Performance Modeling role at Google involves developing and maintaining performance models of Google Cloud systems using C++ or Python. Responsibilities include conducting simulations, analyzing results to identify performance bottlenecks, collaborating with cross-functional teams for performance improvements, and staying updated on performance modeling advancements. The ideal candidate will have experience in software development, data structures/algorithms, performance analysis/engineering, and ideally, experience with performance modeling, simulation, computer architecture, root cause analysis, and statistical analysis tools including machine learning.
Must have:
  • C++ or Python proficiency
  • Performance analysis experience
  • Data structures & algorithms knowledge
  • Performance model development
  • Collaboration with cross-functional teams
Good to have:
  • Master's/PhD in relevant field
  • Experience with SoC architecture
  • Statistical analysis & machine learning skills
  • Performance simulation experience
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details


Minimum qualifications:

  • 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.

Preferred qualifications:

  • 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.

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.

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.

The 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. 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 .

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 abreast of the latest developments in performance modeling and simulation.

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About The Company

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

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