Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages (e.g., C ), or 1 year of experience with an advanced degree.
• 2 years of experience with data structures or algorithms.
• 2 years of experience working with compilers (e.g., compiler optimizations, parallelization, etc.).

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
• Experience in Multi-Level Intermediate Representation (MLIR) or Low Level Virtual Machine (LLVM).
• Experience with deep learning (e.g., convolutions, matrix multiplication, attention, etc.).
• Experience with computer architecture (e.g., SIMD/vector programming, DSP programming, etc.).
• Experience with machine learning frameworks like TensorFlow, Jax, or PyTorch.
• Experience with quantization schemes or floating point properties.

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.

In this role, you will be responsible for the frontend of the EdgeTPU compiler. You will work closely with the DeepMind team for Gemini Nano variants, with the Android Camera team for various Pixel camera features (such as 100x zoom), with the CoreML team for advanced quantization schemes, etc. You will build great abstractions for ML model compilations or to expose EdgeTPU-specific hardware features to ML model developers.
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 $141,000-$202,000 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

• Build the compiler frontend that bridges the gap between the ML frameworks (e.g., PyTorch, Jax, TensorFlow, etc.) and the compiler middle-end (optimizer) and backend (code generator).
• Define abstractions for ML techniques proposed by ML research teams.
• Define abstractions to expose hardware-specific features to ML engineers or compiler users.
• Create transformations for operations, data types, or quantization schemes not natively supported by the hardware.
• Create converters for different model file formats and intermediate representations.

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Requisition #: 110572032734700230

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