Senior/Staff Software Engineer - AI, Search & Knowledge Platforms

Design, develop, and maintain services and orchestration workflows that validate, qualify, package, and deploy ML models to end-user devices and Private Cloud Compute servers. Build and evolve the compatibility and versioning systems that target the right models to the right devices, accounting for hardware capabilities, OS versions, feature sets, locales, and inter-model dependencies. Collaborate with ML, OS, and platform teams to improve the end-to-end model release process from qualifying models to production deployment. Minimum Qualifications Proficient in Kotlin or Java, with strong object-oriented and functional programming skills 7+ years of experience Experience with containerized environments (Kubernetes, Docker) Demonstrated experience and ability to collaborate across large, cross-functional teams Strong analytical and problem-solving skills with the ability to reason about complex compatibility and dependency constraints B.S. in Computer Science or equivalent Preferred Qualifications Experience with gRPC, Protobuf, or similar serialization/RPC frameworks. Experience building CI/CD pipelines Experience with workflow orchestration frameworks such as Temporal or job scheduling systems Experience with Python for scripting, automation, or data processing Experience with PostgreSQL, Redis, or similar data stores in high-throughput environments