Staff Software Engineer, Machine Learning Compiler, Google Research

Google LLC

Austin, TX

JOB DETAILS
SKILLS
Advertising, Artificial Intelligence (AI), Artificial Intelligence (AI) Natural Language, C Programming Language, C++ Programming Language, CUDA (Compute Unified Device Architecture), Cloud Computing, Computer Science, Construction, Data Storage, Debugging Tools, Distributed Computing, Ecosystems, English Language, Equal Employment Opportunity (EEO), Genetics, Hardware Administration, Hardware Design, Independent Software Vendor (ISV), Information Retrieval, Information/Data Security (InfoSec), Internet Search, Internet Security, Internet of Things, Java, JavaScript, Large-Scale Systems, Leadership, Machine Learning, Manufacturing Operations Management, Microsoft Word, Natural Language Processing (NLP), Network Design, Network Operations Center, Open Source, Operations Management, Operations Security (OPSEC), Performance Analysis, Product Development, Product Management, Programming Languages, Project/Program Management, Python Programming/Scripting Language, Recruiting/Staffing Agency, Regulatory Requirements, Research Skills, Retail, Sales Management, Software Administration, Software Development, Software Engineering, Stock Purchase Plans, Supply Chain Operations, Technical Leadership, Technical Support, User Interface Design, Virtual Machine (VM), YouTube
LOCATION
Austin, TX
POSTED
9 days ago

Staff Software Engineer, Machine Learning Compiler, Google Research - Google Careers

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Staff Software Engineer, Machine Learning Compiler, Google Research

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corporate_fareGoogleplaceAustin, TX, USA; Mountain View, CA, USA

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Mountain View, CA, USA.

Minimum qualifications:

  • Bachelor"s degree in Computer Science or equivalent practical experience.
  • 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
  • 5 years of experience with compiler development or construction.
  • Experience with low level virtual machines (LLVM) development, modifying LLVM as a contributor.

Preferred qualifications:

  • Master's degree or PhD in Computer Science, or a related technical field.
  • Experience developing compilers using the Clang/LLVM/Multi-Level Intermediate Representation (MLIR) infrastructure, specifically for Very Long Instruction Word (VLIW) processors or Machine Learning (ML) accelerators.
  • Experience in the design or management of large-scale systems and High-Performance Computing (HPC) environments.

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.

The Machine Learning Compiler (MPACT) team in Google Research is developing open-source, retargetable compiler infrastructure in the Low Level Virtual Machines (LLVM) and MLIR frameworks to streamline iterative processor and system co-design for the Google Tensor Processing Unit (TPU) family of processors, and to enable C/C++/Cuda High Performance Computing (HPC) codes to run efficiently on TPUs.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

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

US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Build, release, and support Clang/LLVM/MLIR-based compilers, debuggers, simulators, and performance analysis tools for Google TPU accelerators.
  • Optimize the TPU software ecosystem to support conventional High-Performance Computing (HPC) using C, C++, and Compute Unified Device Architecture (CUDA).
  • Write TPU-specific backend code generation and optimization components, ensuring support for new hardware designs.
  • Create MLIR components to translate and optimize OpenHLO, CUDA, and PyTorch programs for efficient TPU execution.

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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