Senior Software Engineer - AI Transparency Platform
Software Engineering, Data Science
San Diego, CA, USA
Posted on Jun 26, 2026
Apple Intelligence is redefining what people expect from AI on their devices: capable, personal, and built on a foundation of privacy and verifiable transparency. The most demanding workloads run on Private Cloud Compute (PCC) — Apple’s purpose-built server-side AI platform, engineered so that user data is processed without ever being exposed to Apple or anyone else, with public, cryptographic proof that those guarantees hold. PCC sets a new bar for privacy in cloud AI. Our team builds the secure identity and transparency services that anchor those guarantees, for Apple Intelligence and PCC, iMessage, and other critical Apple products. We produce the backend systems behind the cryptographic proof, so the billions of Apple users and their devices can connect and compute with confidence. We are a small team with big impact, tackling challenges across verifiable key transparency, privacy-preserving infrastructure, data consistency and reliability at extreme scale, and publicly auditable, tamper-evident logging systems that span an increasingly diverse cloud footprint. Are you interested in product innovation and building services with unrivaled privacy and security, while solving unique, large-scale, and highly-complex technical problems? Are you passionate about delivering the best possible experience to customers? If so, come join us!
Join us to build the transparency infrastructure that makes private AI possible, and that scales to the next billion users and devices. Your responsibilities will cover all aspects of the software development lifecycle, including feature exploration, architectural design, development, testing, and operations for services that demand the highest standards of reliability and security. You will represent our team in various cross-functional settings and lead projects in our realms of expertise. We are seeking a strong technical, hands-on engineer who is passionate about applying their skills to create real-world impact and build products that users love. You should feel a personal stake in the services we are responsible for, be eager to learn about new technologies, and have the ability to build positive and effective relationships with the people you work with. Our work is complex, challenging, and highly visible: as Apple Intelligence grows, transparency becomes load-bearing infrastructure for AI privacy at global scale. The opportunities for you to make an impact here are boundless.
- Design, build, and operate the critical server-side components that power new communication features, taking full ownership of their architecture, quality, and reliability.
- Act as the server-side technical lead for new features, partnering with iOS, hardware, and other service teams to influence and craft the end-to-end architecture.
- Assume responsibility for the successful delivery of a feature’s backend, while acting as a key collaborator in the success of the overall feature across all layers of the stack.
- Lead sophisticated, multi-functional projects from conception to delivery, ensuring technical
- alignment and flawless integration between your services and other components.
- Mentor and guide engineers both within our team and across the company, helping to develop their skills and encouraging a culture of technical perfection and collaboration.
- Uphold and champion our deep dedication to user experience, privacy, and security in every aspect of your work.
- At least 3+ years of backend software engineering experience
- Experience in Java, Go, C#, or similar languages.
- Experience in building large scale, highly available application services.
- Independent, driven, motivated, and a deep sense of ownership
- Strong written and verbal communication skills
- Good understanding of multi-threading, non-blocking I/O, and client-server development.
- Experience with applied cryptography
- Understanding of transparency systems (key transparency, certificate transparency, Merkle trees)
- Experience with distributed database systems (such as Cassandra)