Software Engineer, Numerics
Skills & Technologies
Requirements
- Experience
- 2+ years
- Education
- PhD
Joblaze summary
In this role, the Software Engineer focuses on determining the precision and sparsity formats for key Google AI models, directly influencing the architecture of custom silicon designed for AI applications. The position requires a strong foundation in software engineering, coupled with a research background in numerics and quantization, to effectively transition low precision and sparse models into production. Ideal candidates hold a PhD in Computer Science or a related field and have at least two years of relevant experience. This position is pivotal in shaping the future of AI at Google DeepMind, addressing critical challenges in the field.
Joblaze insights
- Listed about a month ago on Joblaze — tracked directly from Google DeepMind's career page.
- Google DeepMind has 57 other open roles including Research Engineer, Materials Science, Research Scientist: Multilingual, Multicultural and Multimodal LLM, Science & Frontier AI Research - Writer / Communicator.
- 1579 active AI/ML roles on Joblaze right now.
- 2 active quantization roles on Joblaze right now.
- 2 active sparsity roles on Joblaze right now.
Quick facts
- How much experience is required?
- At least 2 years of relevant experience for this Software Engineer, Numerics role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: numerics, AI/ML, quantization, sparsity.
- What seniority level is this role?
- Google DeepMind targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Software Engineer, Numerics role at Google DeepMind.
From the original posting
Snapshot:
Artificial Intelligence could be one of humanity’s most useful inventions. At DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
About Us:
This is a high impact role that will impact the efficiency of serving through very low precision and sparse models. Additionally, this role will help drive the future Google HW roadmap to support forward looking numerics. This role offers the unique opportunity to address a historically underserved but increasingly critical area in the advancement of AI.
The Role:
This high-impact position is responsible for deciding the precision, numerics, and sparsity formats used by key Google AI models and ensuring these decisions are reflected in the roadmaps for corresponding hardware. You will have the opportunity to influence the very architecture of Google's custom silicon for AI.
- Decide the precision, numerics, and sparsity formats used by production models
- Drive novel research advancements and bringing the most impactful ideas into production
About You:
In order to set you up for success as a Software Engineer at Google DeepMind, we look for the following skills and experience:
- PhD in Computer Science or related field with at least 2+ years of relevant experience.
- Strong software-engineering skills in addition to a research background
- Deep understanding of the numerics/quantization/sparsity literature
- Practical experience driving low precision and sparse models through to production