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Software Engineer, Accelerators Software/Hardware Co design, DeepMind

DeepMind

Mountain View, CAJob$174–252K/yrPosted 6 days agoStill listed 4 days ago

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At a glance

Compensation
$174–252K/yr
Location
Mountain View, CA
Work Authorization
Not specified

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Job overview

The Software Engineer will help build a next-generation compute platform for AI inference workloads, emphasizing memory technologies, hardware acceleration, and software/hardware codesign. The role involves collaborating with product teams on software algorithms, overseeing codesign and kernel optimization, and gathering insights to inform future software and hardware design and the technology roadmap.

Skills & qualifications

RequiredNice to have

Skills

Python (Programming Language)C++ (Programming Language)Machine LearningSoftware DevelopmentPerformance TuningMachine Learning Hardware AcceleratorsML Inference SoftwareHardware Accelerator ArchitectureSoftware/Hardware Co-DesignPerformance OptimizationCollaborative Software DevelopmentEngineering Best PracticesProject PlanningProject ExecutionWorking in Ambiguous Environments

Qualifications

Bachelor's in Computer Science or Related Field or Equivalent Practical ExperiencePhD in Computer Engineering, Computer Science, or Related Field2 Years Hardware Accelerator Experience2 Years Collaborative Software Development ExperienceEnglish Proficiency

Full job description

Software Engineer, Accelerators Software/Hardware Co design, DeepMind Share Software Engineer, Accelerators Software/Hardware Co design, DeepMind

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corporate_fareDeepMindplaceMountain View, CA, USA; San Francisco, CA, USA

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info_outline XApplicants 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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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