Senior Software Engineer, Compilers Optimization and Scheduling

Mountain View, CA, United States

Minimum qualifications:

Bachelor's degree in Computer Science or equivalent practical experience.

5 years of experience with software development in C/C++.

5 years of experience in compiler and developing toolchain components (compilers, linkers, debuggers, system libraries).

3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Preferred qualifications:

Experience in Multi-Level Intermediate Representation (MLIR) and/or LLVM.

Experience in compiler development in the context of accelerator-based architectures.

Experience with Machine Learning and Generative AI architectures.

Experience with hardware design (computer architecture and/or chip design).

Experience with numerics, floating point precision and stability issues.

Experience programming in Python.

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Edge Tensor Processing Unit (TPU) is a family of embedded Machine-Learning (ML) accelerators, from smartphones to self-driving cars to data center applications. We are developing a template design to target the broad span of speed/energy dissipation/cost trade-offs corresponding to the many devices being developed at Alphabet.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

The US base salary range for this full-time position is $157,000-$235,000 + 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 .

Responsibilities

Work as part of the Edge Tensor Processing Unit (TPU) compiler team, including analyzing and improving the compiler quality and performance on optimization decisions, correctness and compilation time.

Develop parallelization and scheduling algorithms to optimize compute and data movement costs to execute Machine Learning workloads on the Edge TPU.

Work on efficient mapping of generative AI models and other key workloads into Edge TPU instructions through the compiler.

Work with Edge TPU architects to design the HW/SW interface and co-optimizations of the next generation Edge TPU architectures.

Work with product managers, researchers in identifying key Machine Learning trends, future use cases, etc.

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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