Senior Drug Discovery AI Engineer

Nvidia

Santa Clara, CA

Job posting number: #7285627 (Ref:JR1988682)

Posted: October 6, 2024

Job Description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are now looking for Senior Deep Learning Engineer - Drug Discovery AI. NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s motivated by extraordinary technology—and outstanding people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent! As an NVIDIAN, employees are immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world!

What you will be doing:

  • Maintain and improve NVIDIA's BioNemo and related software

  • Scale up testing of framework software for deep learning model development

  • Responsibility for major software features

  • Productize a wide range AI algorithms implementations, including large language models and geometric deep learning algorithms

  • Collaborate with applied research, AI infrastructure, and full stack software teams

What we need to see:

  • 8+ years of relevant experience

  • BS or MS in a quantitative field such as Statistics, Physics, Computer Science, Mathematics, or an equivalent experience

  • Strong experience with python

  • Excellent PyTorch skills or Deep Learning/Machine Learning frameworks

  • Good understanding of deep learning concepts

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

Ways To Stand Out From The Crowd:

  • Experience implementing large language models and geometric deep learning models

  • Knowledge of implementing model parallelism techniques for large scale models

  • Outstanding communication skills

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.

The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

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

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.





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Job posting number:#7285627 (Ref:JR1988682)
Application Deadline:Open Until Filled
Employer Location:Nvidia
Santa Clara,California
United States
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