Technical Program Manager, Compute Management
Google DeepMind · Mountain View, CA, USA
Frontier labonsite$138k–$197k
At a glance
Highlights
- Drive multi-quarter forecasting and allocation for large-scale compute capacity.
- Coordinate compute readiness and seamless transitions for flagship training runs.
- Optimize fleet utilization and execution velocity across research and serving.
What they offer
- 15% bonus target
- equity
- benefits
Ideal candidate
Analytical program manager who thrives in dynamic, cross-functional environments and loves optimizing complex systems at scale. You communicate clearly with executives and engineers and care about advancing AI responsibly.
Requirements
- Bachelor's degree in Computer Science, Mathematics, Electrical Engineering, related technical field, or equivalent practical experience
- 2 years of experience in program management
- Background in technical program management, capacity planning, or large-scale ML infrastructure operations
- Proficiency with SQL, Python, and quantitative capacity modeling
- Familiarity with cluster scheduling and distributed ML infrastructure and data center knowledge
- Experience building lightweight workflow automation
- Excellent technical communication and stakeholder management skills
Lab profile
About Google DeepMind
Google's AI lab building frontier models like Gemini to advance science and general intelligence.
What they build
- Gemini
- Gemma
- AlphaFold
Known for
- Frontier foundation models and GenAI
- Large-scale training with JAX, PyTorch, TensorFlow
- Model evaluation and deployment expertise
- Responsible frontier AI research
Key facts
- Founded in 2010
- Headquartered in London, UK
- Part of Google (Alphabet)
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