Senior Software Engineer - Gemini Research Infrastructure

Google DeepMind is at the forefront of artificial intelligence research and development, working to advance AI for widespread public benefit and scientific discovery. This role is part of a ~10-person research engineering team focused on the Gemini project, a high-priority strategic initiative. The team specializes in reinforcement learning infrastructure, distributed systems, and accelerators, working collaboratively across multiple locations including the US, Canada, France, and UK.

As a Senior Software Engineer, you'll play a crucial role in unblocking progress in critical research challenges, from technical roadmap development to infrastructure implementation. The position requires expertise in building large-scale infrastructure for Deep Learning research, with a strong focus on accelerator optimization, training behavior analysis, and distributed systems development.

The ideal candidate will bring 8 years of software development experience, with at least 5 years specifically in research environments. You'll work with cutting-edge technologies like JAX and XLA stack, contributing to both infrastructure development and research advancement. The role offers competitive compensation ($189,000 - $350,000) plus bonus and equity, reflecting the high-impact nature of the work.

This is an excellent opportunity for someone who thrives in a collaborative, research-driven environment and wants to contribute to groundbreaking AI development. The position offers the chance to work with world-class researchers and engineers while helping shape the future of artificial intelligence technology.