Staff+ Software Engineer, Privacy
Core
Architecting privacy-preserving systems and infrastructure for AI training and inference to protect user data at scale.
Role type
Staff+ individual contributor privacy engineer
Builds
Privacy infrastructure, automated compliance controls, data governance platforms, and privacy-preserving analytics for AI systems
Domain
AI safety, distributed systems, regulatory compliance
Deliverable
production ML models | infrastructure
Required skills
privacy engineering principles, Python/Go programming, privacy-enhancing technologies (differential privacy, homomorphic encryption), data governance, threat modeling, regulatory translation
Preferred skills
large-scale developer infrastructure experience, technical leadership, open-source contributions
Technologies
differential privacy, federated learning, secure multi-party computation, homomorphic encryption, secure enclaves
Responsibilities
Design privacy-preserving architectures for AI training/inference, build foundational privacy infrastructure, translate regulatory requirements into technical controls, architect data governance platforms, lead privacy reviews and threat modeling, embed privacy controls into inference systems, develop privacy engineering toolkits, research emerging privacy technologies
Seniority
Staff+, technical and cultural leadership