Tech Lead, Gemini Inference Performance
Google DeepMind · London, UK
CHECKED 42M AGO
Frontier labonsitelead
At a glance
Highlights
- Set technical roadmap for Gemini inference performance engineering team.
- Optimize Transformer and MoE models for latency, memory and serving cost.
- Partner with research to shape inference-efficient model architectures.
Ideal candidate
An experienced technical leader who thrives on systems performance and mentors engineers. You love first-principles analysis and partnering with researchers to make frontier AI faster and cheaper to serve.
Requirements
- Bachelor's degree or equivalent practical experience
- 8 years of experience in software development
- 5 years of experience in a people management, supervision/team leadership role
- 5 years of experience in a technical leadership role and overseeing projects
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)