Software Engineer, Accelerators Software/Hardware Co-design, DeepMind
About the role
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
[https://www.google.com/about/careers/applications/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.
Responsibilities
- Design, implement, and prototype software algorithms in collaboration with product teams
- Lead software/hardware co-design, kernel optimization, benchmarking, and performance optimization
- Gather insights to inform future software and hardware design and the technology roadmap
Qualifications
- Bachelor's degree in computer science, a related technical field, or equivalent practical experience
- Experience developing software in Python and C++
- Experience with machine learning hardware accelerators and inference software
- Preferred: PhD in computer engineering, computer science, or a related field
- Preferred: 2 years of experience with hardware accelerators, architecture, software/hardware co-design, and performance optimization
- Preferred: 2 years of experience with collaborative, hyperscaler software development and engineering best practices
- Experience planning and executing projects toward team goals in ambiguous environments
Benefits
- 15% target bonus
- Equity
- Benefits
Skills mentioned
About Google
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh
H-1B sponsorship history
Historical employer filing data was found for Google. The employer record includes 57,181 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.