Minimum qualifications:
- Bachelor's degree in Computer Science, or in a related technical field, or equivalent practical experience.
- 3 years of experience designing, developing, testing, maintaining, or launching software products.
- 3 years of experience with software development in C++, and with data structures and algorithms.
- Master's degree or PhD in Computer Science, or in a related technical field (with an emphasis on compiler, or ML performance).
- Experience with domain-specific compilers for ML.
- Experience with low-level and low intrusiveness developer tooling concepts such as profiling, instrumentation, Application programming interface (API) tracing, and hardware tracing.
- Experience in power and performance optimizations.
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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.
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.
Responsibilities
- Build tools that compliments compiler to efficiently map Machine Learning (ML) models (with a particular focus on always-on computing use cases) to the hardwareInformation Security Assurance(ISA).
- Collaborate with ML researchers, applied ML and compiler teams to constantly improve the domain-specific toolings.
- Design and implement tools that can correlate performance data at a ML graph level, or logical hardware level.
- Help users on how to use the tools to analyze, debug and improve latency, accuracy, and power through codelabs, documentation, and tutorials.