3 days ago
Base Salary
$152k - $288k/yr
Responsibilities
- Partner with business and account teams to understand customer goals, scientific workflows, technical needs, and platform adoption strategies.
- Architect and optimize AI/ML pipelines for training large biological foundation models using BioNeMo and GPU-accelerated software.
- Build proof-of-concept demonstrations showing how NVIDIA software and hardware accelerate scientific discovery.
- Collaborate with engineering, product, subject matter experts, and field teams to deliver customer solutions.
- Document best practices and provide technical enablement through training, whitepapers, blogs, internal articles, and workshops.
- Advise customers on integrating NVIDIA technologies into biopharma and diagnostics applications.
Requirements
- MS or PhD in Computational Biology, Computational Chemistry, Computational Physics, Chemical Engineering, Biophysics, Computer Science, or a related technical field, or equivalent experience.
- At least 5 years of software development experience in deep learning, GPU acceleration, or scientific computing applications.
- Hands-on machine learning experience in genomics, quantum chemistry, biomaterials science, or structural biology.
- Experience profiling and optimizing large-model training workflows, including performance tuning, distributed training, data pipelines, and GPU utilization.
- Proficiency with Linux and experience in HPC or accelerated computing environments, including Slurm or Kubernetes-based clusters.
- Excellent communication skills for presenting technical material to scientists, engineers, executives, and customers.
- Preferred experience with BioNeMo, NeMo, Parabricks, RAPIDS-singlecell, ALCHEMI, cuEquivariance, cuEST, pharmaceutical or biotech companies, and customer-facing technical leadership.
Benefits
- Eligible for equity and benefits.
- Applications will be accepted at least until September 4, 2026.
Tech Stack
Categories
Solutions Engineering
About Nvidia
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.