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Senior Software Engineer, Performance, Machine Learning Accelerators

GoogleRaleigh, NC, USA; Durham, NC, USA
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Raleigh, NC, USA; Durham, NC, USA.

Minimum qualifications:

  • Bachelor's Degree in Computer Science or equivalent practical experience.
  • 5 years of professional software development experience.
  • Experience coding in any one of the following languages: C++ or Python.
  • Experience in performance engineering or performance analysis.

Preferred qualifications:

  • Master's Degree or Ph.D. with an emphasis on performance evaluation or performance analysis of Machine Learning (ML) Systems.
  • Experience with simulators, especially hardware simulators.
  • Experience with computer architecture, especially System on a Chip (SoC) architecture.
  • Experience with ML algorithms.
  • Experience with Hardware/Software Co-design.

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.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $161,000-$239,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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

  • Collaborate with teams across the Machine Learning (ML) hardware/software stack.
  • Develop Tensor Processing Unit (TPU)/Graphics Processing Unit (GPU) performance methodology. 
  • Co-design Hardware/Software to discover what Google needs to build today to meet tomorrow's Artificial Intelligence (AI) goals. 
  • Develop and contribute using C++ or Python to ML models, compilers, ML systems, TPU accelerators, etc. 
  • Evaluate performance/cost trade-offs of hardware features and software optimization techniques.

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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