Engineering Director, Impact Accelerator, DeepMind

Requirements:

• Bachelor’s degree or equivalent practical experience.
• 15 years of professional experience in engineering.
• Experience with concurrent and distributed software algorithms and architectures.
• Experience with cross-functional technical innovation.
• Experience with Python and C++.

Nice to haves:

• Experience using Google Cloud Platform and other cloud solutions.
• Understanding the nature of AI development and deployment and what technology can and cannot do, beyond GenAI.
• Familiarity with modern hardware accelerators (GPU/TPY).

What you'll be doing:

• Lead and manage a team of software engineers, working with the Impact Lead and GDI Engineering Lead to prioritize impact opportunities.
• Develop, maintain and extend AI deployment solutions in response to user feedback and strategic priorities, for example web services, open source software, and data access solutions.
• Guide and advise external impact partners.
• Ensure a healthy team environment and develop the engineering talent on the team.

Perks and benefits:

• Opportunity to work at DeepMind in London, UK.
• Part of a team focused on catalyzing AI breakthroughs through socially beneficial projects.
• Diverse learning opportunities and varied career pathways.