Software Engineer III, Core ML Performance

Google LLC

Sunnyvale, CA

JOB DETAILS
SKILLS
Algorithms, Artificial Intelligence (AI), Artificial Intelligence (AI) Natural Language, Cloud Computing, Computer Architecture, Computer Science, Computer Skills, Construction, Consulting, Continuous Integration, Data Analysis, Data Storage, Data Structures, Data Visualization Tools, Debugging Tools, Distributed Computing, Documentation, English Language, Equal Employment Opportunity (EEO), Financial Services, GCP (Good Clinical Practices), GPU (Graphics Processing Unit), Genetics, Hardware Administration, Hardware Configuration Management, Information Retrieval, Information/Data Security (InfoSec), Internet Search, Internet Security, Internet of Things, Kernel Programming, Large-Scale Systems, Leadership, Leading Edge Technology, Machine Learning, Machine Tool, Machining Operations, Mandarin Chinese Language, Mechanical Engineering, Natural Language Processing (NLP), Network Design, Network Operations Center, Open Source, Operations Security (OPSEC), Organizational Skills, Performance Analysis, Performance Modeling, Performance Tuning/Optimization, Programming Languages, Project/Program Management, Recruiting/Staffing Agency, Regulatory Requirements, Sales Management, Software Development, Software Engineering, Stock Purchase Plans, Systems Analysis, Technical Leadership, Usability Engineering, User Interface Design
LOCATION
Sunnyvale, CA
POSTED
17 days ago

Software Engineer III, Core ML Performance - Google Careers

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Software Engineer III, Core ML Performance

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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages.
  • 2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
  • 2 years of experience with computer architecture, performance analysis, and performance modeling.

Preferred qualifications:

  • Master"s degree or PhD in Computer Science or related technical fields.
  • 2 years of experience with data structures or algorithms.
  • Experience developing accessible technologies.

About the job

Google"s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. 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's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. 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.

We are the Core ML Frameworks team, responsible for large parts of Google"s production ML stack. We collaborate closely with Google DeepMind and other teams across Alphabet to build solutions that power the future of AI, both within the company and across the industry via GCP. Join Core ML and make a significant impact on Alphabet"s vast ML infrastructure, addressing technical challenges that directly impact the performance, efficiency and scalability of AI across Google.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $211000 (USD) + 15% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Contribute to the development and maintenance of Tokamax, a unified open-source kernel library, creating a home for high-quality, well-tested, easy-to-use, and performant kernels available to both internal and external users.
  • Build infrastructure and tooling for kernel development, including bench-marking suites, auto-tuning frameworks, performance analysis tools, debugging tools, and continuous integration pipelines to ensure the correctness and performance of custom kernels across different hardware and model configurations.
  • Design, develop, and optimize high-performance custom kernels (using languages like Pallas, Mosaic, and Triton) aiming TPU and GPU architectures for key machine learning operations.
  • Investigate and implement custom kernel support for new accelerator hardware generations/features and emerging ML operations.
  • Contribute to the documentation and usability of kernel libraries tools and libraries to lower the barrier to entry for researchers and engineers looking to write or leverage custom kernels.

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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