Senior Data Platform Engineer

Highlights

• Architect the data engine powering next-generation frontier models at scale.
• Scale automated petabyte-scale processing pipelines with full traceability.
• Build safe-by-design AI enabling truthful, transparent scientific discovery.

Ideal candidate

Visionary, highly technical builder who treats data platforms as products for researchers. You thrive owning large systems under throughput and cost pressure and care about safe-by-design AI.

Requirements

• Bachelor's degree in a relevant field (e.g., computer science, computer engineering, software engineering)
• 5+ years designing, implementing and managing large-scale distributed data processing systems or ML data frameworks
• Demonstrated ownership of a data processing system under real throughput, reliability and cost pressure
• Experience profiling and optimizing throughput and cost across heterogeneous workloads, including GPU-accelerated stages
• Experience with dataset versioning, lineage and reproducibility tooling
• Ability to collaborate with cross-functional teams, document best practices and stay current on large-scale data processing
• Experience with workload managers (e.g., Ray, Kubernetes, Slurm)
• Familiarity with containerization tools (e.g., Docker, Enroot) and data infrastructures (e.g., vector databases)