Solutions Architect - Deep Learning For Drug Discovery

Invidia

Multiple Locations
Deep learning software architecture
Gpu acceleration methods
High-performance computing applications
NVIDIA is redefining the biopharma industry through AI-powered drug discovery by collaborating with leading pharmaceutical companies and research organizations

Job Summary

  • NVIDIA is redefining the biopharma industry through AI-powered drug discovery by collaborating with leading pharmaceutical companies and research organizations.
  • The role involves building proof-of-concept demonstrations, scaling AI deployments, and fostering relationships with key customers to drive innovation.
  • Employees are empowered to find the best ways to accomplish their goals and contribute to groundbreaking projects revolutionizing drug discovery and development.

Matching Summary

NVIDIA is redefining the biopharma industry through AI-powered drug discovery by collaborating with leading pharmaceutical companies and research organizations.

Skills & Requirements

Must-have

  • Deep learning software architecture
  • GPU acceleration methods
  • High-performance computing applications
  • Linux/GNU toolchain proficiency
  • Scientific programming languages
  • AI deployment and scaling
  • Customer technical advisory

Nice-to-have

  • Optimizing training and inference at scale
  • Accelerated computing with GPU
  • Transformer model development
  • Parallel programming with CUDA
  • Distributed programming models
  • AI/ML in healthcare and life sciences
  • Forward-thinking and lifelong learning

Key Requirements

  • MS or PhD in Computer Science or related fields
  • 5+ years software development in deep learning or GPU acceleration
  • 3+ years experience with deep learning frameworks or HPC
  • Proficiency in Linux/GNU and HPC cluster environments
  • Experience with Python, C/C++, and/or CUDA
  • Excellent technical communication skills

Work Rights

Not specified

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