Senior Solutions Architect

Job Summary

Senior Solutions Architect, this full-time role involves redefining drug discovery through GPU-accelerated AI, focusing on training and optimizing large biological foundation models for pharmaceutical and techbio customers.

Key Responsibilities

• Partner with teams to understand customer goals and technical needs
• Architect and optimize AI/ML pipelines for large biological models
• Document best practices and provide technical enablement through various formats

Required Qualifications

• MS or PhD in a relevant technical field or equivalent experience
• 8+ years of experience in software development for deep learning or scientific computing
• Hands-on experience with ML in genomics, quantum chemistry, biomaterials science, or structural biology
• Experience in profiling and optimizing training workflows for large AI models
• Proficiency with Linux environments and experience in HPC or accelerated computing