Senior Solutions Architect, Simulations - Clinical Sciences and Autonomous Lab

MS/PhD or equivalent in CS, Bioengineering, Computational Biology/Chemistry, Robotics or related; 8+ years in software, AI/ML, scientific computing, GPU acceleration, or robotics for healthcare/life sciences; proficiency in Python and AI/ML frameworks; CUDA/C++ experience; cloud/HPC deployment; strong communication; travel up to 20%.

What you'll do at Nvidia:

• Guiding customers through adoption of GPU-accelerated AI
• Architecting libraries for GPU-accelerated solvers
• Performing CUDA optimization for simulations

Apply to this Senior Solutions Architect, Simulations - Clinical Sciences and Autonomous Lab role at Nvidia with a tailored resume on ApplyBolt.