Senior Deep Learning Engineer - Genomics

NVIDIA is at the forefront of redefining healthcare by harnessing the power of GPU computing and AI to redefine data analysis in fields such as genomics and personalized medicine. We are on the lookout for hardworking and committed individuals to join our mission in integrating AI driven genomic solutions into mainstream healthcare. As a Genomics Deep Learning Engineer, you will be part of an innovative team dedicated to the development of deep learning algorithms tailored for genomics applications. This role offers the outstanding chance to define, implement, productize, and deliver innovative computing software that will have a global impact on genomics community. If you are driven by solving complex computational challenges in the genomics field, this role is tailor-made for you!

What you'll be doing :

Develop and refine deep learning models and techniques for genomics analysis, including but not limited to DNA sequencing, variant calling, and model prediction.

Advance and apply modern Deep Learning techniques to develop Large Language Models (LLMs), Graph Neural Networks, Graph Transformer Networks, and comprehensive multi-modal models in genomics.

Design and implement machine learning techniques to tailor foundation models for downstream genomic specific tasks.

Generate and manage datasets for large-scale machine learning, focusing on learning from genomics specific applications.

Collaborate closely with product and hardware architecture teams to ensure flawless integration of research and development into NVIDIA products.

Work in tandem with engineering and AI research teams to employ the latest technologies for scalable and innovative genomics analysis.

What we need to see :

Master or Ph.D. in Computer Science, Bioinformatics, or Computational Biology, or related field (or equivalent experience).

3+ years of experience in related field.

Proficiency in C / C++ and Python, with a strong grasp of software design and programming principles.

Background with Large Language Models (LLMs) and natural language processing (NLP), Generative AI and Foundation Models.

Strong proficiency with modern frameworks such as PyTorch and TensorFlow, Experience with Large scale inferencing.

Experience in building and implementing complex algorithms and data structures, with a focus on bioinformatics or genomics applications.

Deep understanding of computer system architecture, operating systems, and the challenges associated with large-scale genomic data analysis.

Ways to stand out from the Crowd :

Hands-on experience in using LLM, Graph Neural Network, Graph Transformer Network particularly those applied to genomics data.

Strong collaborative and interpersonal skills to effectively work and influence within a dynamic, technical environment.

Ability to decompose complex requirements into step by step tasks and reuse available solutions to implement most of those.

NVIDIA is recognized as one of the most innovative and desirable employers in the technology sector. We are home to some of the brightest and most hardworking individuals globally.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 14, 2025.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.