
Senior Solutions Architect - Drug Discovery
Role to partner with account teams and customers across North America to architect, optimize, and deploy GPU-accelerated AI/ML pipelines for large biological foundation models (e.g., using BioNeMo/NeMo). Requires MS/PhD or equivalent, 8+ years in software development for deep learning/GPU acceleration/scientific computing, domain experience in genomics/quantum chemistry/biomaterials/structural biology, and familiarity with HPC environments (Slurm/Kubernetes) and Linux. Responsibilities include building proofs-of-concept, performance tuning, technical enablement, and customer-facing technical leadership.








