at Google
Location
San Jose, CA, USA
Compensation
$147k–$211k USD
Type
full time
Posted
4 days ago
Remote
Yes
Market range · company + function + seniority
p25 · target · p75 · n=800
Posted $211k · in the market band
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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 on the Voxel team, you will be at the forefront of optimizing GoogleSQL query execution through compiler technologies. You will be a key contributor to a Core Innovation Fund project focused on bringing Just-in-Time (JIT) compilation and hardware acceleration to GoogleSQL. You will help design, develop, and implement a unified, hardware-agnostic compilation framework leveraging Multi-Level Intermediate Representation (MLIR). You will enable GoogleSQL queries to be efficiently compiled and executed across Google's various hardware fleet, including CPUs, GPUs, and TPUs, unlocking significant performance and resource efficiency.
In this role, you will have an an opportunity to gain valuable expertise in a high-impact area, driving innovation in query execution to support Google's growing AI/ML infrastructure needs and contributing to strategic AI initiatives such as vector search and efficient data preparation.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
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