Software Engineer, Performance Modeling

1 Month ago • 4-7 Years • Artificial Intelligence • $141,000 PA - $202,000 PA

Job Summary

Job Description

Google Cloud seeks a Software Engineer specializing in Performance Modeling. Responsibilities include developing and maintaining performance models using C++ or Python, conducting simulations, analyzing results to identify bottlenecks, collaborating with teams to implement improvements, and staying updated on performance modeling advancements. The ideal candidate possesses strong software development skills, experience in performance analysis/engineering, and a deep understanding of data structures and algorithms. Experience with performance modeling, simulation, computer architecture (especially SoC), root cause analysis, and statistical analysis/machine learning is preferred. The role involves working on projects critical to Google Cloud's needs, requiring versatility, leadership, and a proactive approach to problem-solving.
Must have:
  • C++ or Python proficiency
  • Performance analysis/engineering experience
  • Data structures and algorithms expertise
  • Develop and maintain performance models
  • Conduct simulations and analyze results
  • Collaborate with cross-functional teams
Good to have:
  • Master's/Ph.D. in performance evaluation
  • Experience with performance modeling and simulation
  • SoC architecture knowledge
  • Root cause analysis skills
  • Statistical analysis and machine learning 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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