Software Engineer, Bioresilience, DeepMind

In this role you partner with product, external organizations, and cross‑functional teams to define product requirements and robust software architecture for real-world biological defense challenges. You build scalable data pipelines and production-grade inference infrastructure, advancing GenAI solutions from concept to reliable deployment. You translate research prototypes into maintainable software and share performance insights with research teams to guide model development. You establish engineering best practices focused on testing, reliability, and security to support deployed tools.

• Collaborate with product leadership, external partners, and internal teams to define requirements and architecture amid ambiguity
• Build data pipelines for complex biological datasets and scalable evaluation frameworks; optimize production model inference and serving infrastructure
• Contribute to 0-to-1 engineering of novel GenAI solutions using internal platforms and tools for production applications, agents, and workflows
• Translate experiments into maintainable software; share telemetry, performance constraints, and edge cases with core research teams
• Set software engineering best practices for applied GenAI systems focusing on testing, reliability, security, and maintainability

• Bachelor’s degree or equivalent practical experience
• 8 years of software development experience

• Ability to navigate ambiguity across multiple teams and organizations
• Strong collaboration with cross-functional stakeholders
• Problem solving for complex, cross-domain challenges
• Data pipelines for complex biological datasets
• Scalable evaluation frameworks
• Model inference and serving infrastructure for production