Back to jobs
Job Description
- Architect and operate advanced data synthesis pipelines and AI-based retrieval applications
- Manage petabyte-scale data ingestion and synchronization across compute environments, including local storage, cloud back-ends, and on–premise resources.
- Optimize highly parallel numerical operations and ML inference algorithms for specialized hardware accelerators.
- Lead technical direction and provide engineering mentorship for groups developing complex, end-to-end production software systems.
- Implement rigorous data life-cycle policies to ensure system resilience, data integrity, and fault recovery at scale.