Software Engineer, Performance Modeling
Job Summary
Job Description
- Bachelor's Degree in Computer Science or equivalent practical experience.
- Experience coding in C++ or Python.
- 2 years of experience in software development.
- 2 years of experience in Performance Analysis or Performance Engineering.
- 1 year of experience with computer architecture (SoC).
- Master's Degree or Ph.D. in performance evaluation/engineering/analysis.
- 5 years of experience in C++ or Python.
- Experience with performance modeling and simulation.
- Experience in root-causing performance bottlenecks.
- Experience in statistical analysis tools including machine learning.
11 skills required
Job Details
Software Engineer, Performance Modeling
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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.
- 1 year of experience with computer architecture, i.e., System on a Chip (SoC) architecture.
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 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 benefits at Google.
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.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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