For decades, NVIDIA has been at the forefront of accelerated computing, driving innovation in fields ranging from computer graphics to artificial intelligence. Today, we're leveraging this legacy to revolutionize digital biology and to accelerate drug discovery. Our cutting-edge GPU technology serves as the computational engine for groundbreaking research, enabling scientists to model complex biological systems, analyze and harmonize massive datasets, and accelerate the drug discovery process.
We're looking for a Senior Research Scientist who shares our vision for transforming healthcare. This is a unique opportunity to apply your expertise in a fast-paced, collaborative environment where you'll be instrumental in developing the tools that will redefine what is possible in drug discovery, virtual cell, and beyond. As part of our team, you'll work alongside other researchers, developers, and experts in the field to tackle some of the most challenging and impactful problems of our time.
What you'll be doing:
Addressing challenges around data readiness for large-scale training in the digital biology domain
Developing accelerated data preprocessing tools to enable large-scale training
Collaborating with external research leaders in the field of digital biology, leading efforts around dataset generation and evaluation
Publishing original research and releasing open source software
Collaborating with research and engineering teams across all of NVIDIA to transfer research to products and services.
Mentoring emerging researchers
What we need to see:
Advanced degree in a quantitative field such as Computational Biology, Computer Science, Computational Chemistry, Physics, Mathematics, or equivalent experience
5+ years of relevant experience with hands on data preprocessing, training, and benchmarking models in digital biology
Track record of published work within the field of digital biology
Proficient in modern machine learning frameworks such as PyTorch, TensorFlow, JAX, Warp
Ability to learn from and teach others to keep up to speed on the latest developments and tools in the field.
Ability to work together in a tight-knit team environment.
Ways to stand out from the crowd:
Extensive experience developing, implementing, benchmarking and accelerating the latest models in the field of digital biology, drug discovery, virtual cell, and virtual patient
Strong engineering skills, particularly experience with C/C++, CUDA
Contribution to open source software projects
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking, resourceful and talented people in the world working with us and our engineering teams are growing fast in some of the most progressive fields: Digital Biology, Artificial Intelligence, and Autonomous Vehicles. Are you a creative and autonomous engineer with a real passion for machine learning, computational chemistry, data science & parallel computing? If so, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 258,750 USD for Level 3, and 184,000 USD - 299,000 USD for Level 4.You will also be eligible for equity and benefits.