Bachelor's degree in Computer Science or related field, or equivalent experience.
Proficiency in software development using Python and C.
Experience with Machine Learning hardware accelerators and inference software.
PhD in Computer Engineering or related field (preferred).
2 years of experience in hardware accelerators, including architecture and optimization (preferred).
2 years of experience in collaborative software development practices (preferred).
Experience in project scoping and execution in ambiguous environments (preferred).
Responsibilities
Collaborate with product teams to design and prototype innovative software algorithms.
Oversee software/hardware codesign and kernel optimization.
Conduct performance benchmarking and optimization of systems.
Collect insights to guide future software and hardware design.
Influence the technology roadmap based on collected data.
Benefits
Diverse learning opportunities and career pathways.
Focus on safety and ethics in AI development.
Opportunity to work on transformative AI technologies.
Collaborative environment with interdisciplinary teams.
Full Job Description
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X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; San Francisco, CA, USA.
Minimum qualifications:
Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
Experience in software development using Python and C .
Experience with Machine Learning (ML) hardware accelerators and ML inference software.
Preferred qualifications:
PhD in Computer Engineering, Computer Science, or a related field.
2 years of experience with hardware accelerators, including architecture, software/hardware co-design, and performance optimization.
2 years of experience with collaborative, hyper-scaler software development and engineering best practices.
Experience scoping, planning, and executing projects towards team goals in ambiguous environments.
About the job
We are building a next-generation compute platform for cutting-edge AI inference workloads, with an emphasis on innovative memory technologies, hardware acceleration, and software/hardware codesign.
At Google DeepMind you'll be joining our team of scientists and engineers who are directly impacting the future of machine learning for Google and industry.
Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
Collaborate with product teams to design, implement, and prototype novel software algorithms.
Oversee software/hardware codesign, kernel optimization, performance benchmarking and optimization.
Collect insights to influence future software and hardware design and the technology roadmap.
About Google
Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
