Senior Deep Learning Engineer - Genomics at NVIDIA | H1B Sponsorship Available

Job Description

NVIDIA is seeking a Genomics Deep Learning Engineer to join their innovative team, focusing on developing deep learning algorithms tailored for genomics applications. This role involves integrating AI-driven genomic solutions into mainstream healthcare, impacting the global genomics community.

Requirements

Master or Ph.D. in Computer Science, Bioinformatics, 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

Responsibilities

Develop and refine deep learning models and techniques for genomics analysis, including 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