Senior Software Engineer, Edge TPU Compiler, Silicon

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages (e.g. C ), and with data structures/algorithms.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience working with compilers (e.g., optimization, parallelization, etc.).

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• Experience in MLIR or LLVM.
• Experience with hardware/software co-design.
• Experience with compiler development in the context of accelerator-based architectures.
• Experience in optimizing ML models for inference.

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.

Edge TPU is a family of embedded machine learning (ML) accelerators targeted toward a broad set of applications, from smartphones to self-driving cars to data center applications. As part of the compiler team, you will be responsible for analysis, optimization, and compilation of ML models targeting the Edge TPU.

Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.

The US base salary range for this full-time position is $161,000-$239,000 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 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

• Analyze and improve 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 ML workloads on the Edge TPU.
• Work with Edge TPU architects to design future accelerators, the hardware/software interface, and co-optimizations of the next generation Edge TPU architectures.
• Work on efficient mapping of generative AI models and other key workloads into Edge TPU instructions through the compiler.
• Collaborate with ML model developers, researchers, product managers, and Edge TPU hardware/software teams to accelerate the transition from research ideas to exceptional user experiences running on the Edge TPU.