Staff Software Engineer, Machine Learning Compiler, Google Research
Company: Google
Location: Mountain View
Posted on: March 31, 2026
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Job Description:
Minimum qualifications: Bachelors 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. Experience with LLVM development, modifying
LLVM as a contributor. Preferred qualifications: Masters degree in
Computer Science or equivalent practical experience. Experience
with software package management, building packages from RedHat and
Debian for deployment, into artifact registries. Experience
developing Machine Learning (ML) models in JAX, TensorFlow
frameworks or equivalent. Experience with large-scale systems
(e.g., HPC) design/management. Experience with MLIR, design and
implementation of MLIR based compiler. About the job Googles
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.
Were 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 is building the next
generation of intelligent systems for all Google products. To
achieve this, we’re working on projects that utilize the latest
computer science techniques developed by skilled software
developers and research scientists. Google Research teams
collaborate closely with other teams across Google, maintaining the
flexibility and versatility required to adapt new projects and foci
that meet the demands of the worlds fast-paced business needs. The
US base salary range for this full-time position is
$207,000-$300,000 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 Help design and develop a continuous integration
and continuous delivery system that manages the building and
testing of the software across open source and Google
infrastructures. Help build LLVM/(MLIR)-based C/C++/Cuda compiler
and simulation tools for Google TPU family of ML accelerators,
enabling conventional HPC development for TPUs.
Keywords: Google, San Jose , Staff Software Engineer, Machine Learning Compiler, Google Research, IT / Software / Systems , Mountain View, California
