Staff Software Engineer, Machine Learning Compilers

Minimum qualifications :

You can get further details about the nature of this opening, and what is expected from applicants, by reading the below.

• Bachelor's degree in Computer Science or equivalent practical experience.
• 8 years of experience in software development, and with data structures / algorithms.
• 5 years of experience testing and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience with performance, systems data analysis, compilers, or debugging.

Preferred qualifications :

• Experience with LLVM or developing optimizations in LLVM.
• Experience with optimizations in mid-level and low-level architecture.
• Experience with mentoring or managing engineers.
• Experience with debugging correctness and performance issues at all levels of the technical stack.

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.

As a Staff Software Engineer, you will work on the MLIR / LLVM based TPU compiler for novel processors that accelerate models relying on embeddings found in recommendation models.

You will have an opportunity to collaborate with the compiler stack working on low-level details in LLVM as well as the MLIR middle-end.

You will be responsible for supporting new workloads and new TPU hardware across multiple generations, as well as optimizing for new models and new characteristics.

Responsibilities

• Develop the TPU compiler across multiple generations and proactively identify ways to improve code generation, and leverage new hardware features.
• Implement new hardware features in the compiler and assist with hardware / software co-design.
• Improve the compiler stability and speed.
• Work on performance analysis by developing new tooling and finding new opportunities, as well as design new performance optimizations in the compiler.

Compensation

The US base salary range for this full-time position is $185,000-$283,000 + 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 for new hire 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law.

If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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