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Open nowFirst seen 2 days ago

Software Engineer, Accelerators Software/Hardware Co design, DeepMind

Google DeepMind135 open roles

Where
Mountain View, CA, USA; San Francisco, CA, USA
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Your applicationOpen nowSoftware Engineer, Accelerators Software/Hardware Co design, DeepMindGoogle DeepMind · Mountain View, CA, USA; San Francisco, CA, USA

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Google DeepMind's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.3% of postings close within 7 days. Measured by our own scanner across the market. Google DeepMind postings stay open a median of 23 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.3%7 days
  4. 17.6%14 days
  5. 34.3%30 days
  6. 43.5%60 days
This job: first seen 2 days ago

Google DeepMind median: 23 days open

The posting

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.
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