Software Engineer, Accelerators Software/Hardware Co design, DeepMind

Google DeepMind; San Francisco (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google DeepMind in San Francisco is seeking engineers and researchers to advance a next-generation compute platform for AI inference workloads, emphasizing memory technologies, hardware acceleration, and hardware/software codesign.

You will join a team of scientists and engineers shaping the future of machine learning for Google and industry, focusing on safe, scalable innovation with a competitive compensation package including equity and bonus opportunities.

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.

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.

Skills

Python

C++

ML hardware accelerators

ML inference software

Education

Bachelor's degree in Computer Science or related field

PhD in Computer Engineering or related field

Job description

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 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

Responsibilities

Learn more about benefits at Google .

• 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .