Software Engineer, Accelerators Software/Hardware Co design, DeepMind

Socket.dev; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Bonus target 15%

Job summary

Google DeepMind is building a next-generation compute platform for AI inference workloads, with emphasis on memory technologies, hardware acceleration, and codesign. You’ll join scientists and engineers shaping the future of machine learning for Google and industry.

The role focuses on collaboration, kernel optimization, performance benchmarking, and guiding the technology roadmap with practical insights across software and hardware domains.

Qualifications

• Bachelor's degree or equivalent in a technical field with practical experience.
• Experience developing software in Python and C++.
• Experience with 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 roadmap.

Skills

Python

C++

ML hardware accelerators

Education

Bachelor's degree in Computer Science or related field

PhD in Computer Engineering/Computer Science or related field

Job description

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

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.