Senior Solutions Architect, Simulations - Clinical Sciences And Autonomous Lab

NVIDIA

Base: $184,000 - $287,500 (level 4) or $224,000 - ...
Gpu-accelerated scientific simulation
Python and pytorch proficiency
C/c++ and cuda optimization
This role involves guiding customers through the end-to-end adoption of GPU-accelerated AI for healthcare and life sciences

Job Summary

  • This role involves guiding customers through the end-to-end adoption of GPU-accelerated AI for healthcare and life sciences.
  • Candidates will architect libraries and perform low-level CUDA optimization to accelerate drug discovery and simulation workloads.
  • The position offers a competitive base salary ranging from $184,000 to $356,500 depending on level, plus equity and benefits.

Matching Summary

This role involves guiding customers through the end-to-end adoption of GPU-accelerated AI for healthcare and life sciences.

Salary

Base: $184,000 - $287,500 (Level 4) or $224,000 - $356,500 (Level 5); Bonus/Equity: Eligible for equity; Benefits: Comprehensive benefits package included

Skills & Requirements

Must-have

  • GPU-accelerated scientific simulation
  • Python and PyTorch proficiency
  • C/C++ and CUDA optimization
  • Cloud or HPC deployment experience
  • AI/ML framework expertise

Nice-to-have

  • Sim-to-real robotics background
  • NVIDIA Isaac Sim experience
  • Graph RAG and agentic AI systems
  • Strong communication skills
  • Conference presentation experience

Key Requirements

  • MS, PhD, or equivalent experience in CS or related field
  • 8+ years of professional experience
  • Hands-on experience with GPU acceleration or robotics
  • Proficiency in Python and AI/ML frameworks

Work Rights

Not specified

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