NVIDIA is using the power of high performance computing and AI to accelerate digital biology. We are seeking passionate and hardworking individuals to help us realize our mission!

As a Sr. Applied Scientist, you will join a research and development team passionate about infrastructure development and collaborations with industry and academic partners. This position provides the opportunity to research, implement, productize, and deliver deep learning algorithms for applications to life sciences and drug discovery. The team engages in applied research and then helps productize this work.

What you will be doing:

• Prototype and build deep learning algorithms for Genomics, Proteins, Small Molecules, and Docking

• Design metrics for and assist with the evaluation of model predictions and results

• Know the latest research and identify ways to capitalize on new advancements, either as applied research projects or by directly integrating into product development

• Collaborate with multiple AI infrastructure and research teams

• Find opportunities to incorporate advances in the field and other NVIDIA products into our infrastructure

What we need to see:

• 10+ years of proven experience

• Completed a MS or PhD Degree in a quantitative field such as Statistics, Physics, Computational Biology, Computer Science, Mathematics (or a related field), or equivalent experience

• Expertise in deep learning and machine learning

• Strong experience with Python libraries for data science analysis (e.g. NumPy, Pandas, Matplotlib) and deep learning (PyTorch or TensorFlow)

• Interest in life sciences problems such as Genomics, Protein modeling, Small Molecule modeling, and/or Docking

• Recognition for technical leadership contributions, capable of self-direction, and willingness to learn from and teach others

• You should display strong communication skills, be organized and self-motivated, and play well with others (be an excellent teammate)

Ways To Stand Out From The Crowd:

• Experience implementing deep learning models for Genomics, Proteins, small molecule generation, and/or docking

• Background with open source development

• Experience with C/C++, CUDA, docker

• Experience with transformer-based NLP models, graph based deep learning models, and/or geometric deep learning models

• Relevant publication history and/or conference attendance

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.