NVIDIA is at the forefront of revolutionizing 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 genomic solutions into mainstream healthcare.
As a healthcare HPC engineer, you will join a dynamic development team focused on bioinformatics algorithm development and collaborating with industry and academic partners. You will have the opportunity to define, implement, productize, and deliver high-performance computing software for a wide range of biology applications used worldwide. If you thrive in tackling challenging computational problems in healthcare, this is the perfect opportunity for you!
What You'll be Doing:
Study and explore innovative techniques in bioinformatics, graph algorithms, machine learning, develop, deploy, and deliver brand-new computing software for a diverse array of bioinformatics applications used globally
Perform detailed performance analysis and optimization to ensure optimal performance on current and next-generation GPU architectures.
Collaborate with lighthouse clients and academic collaborators to understand their current and future challenges and provide outstanding HPC solutions.
Collaborate closely with hardware engineering, CUDA engineering, and AI research groups to apply the latest technology to enable novel genomic analysis at scale.
What We Need to See:
Bachelor's / Master's degree in Computer Science, a related technical field, or equivalent experience.
5+ years of experience n related field.
Solid understanding of C/C++, CUDA, software design, and programming techniques.
Experience with the design and implementation of sophisticated algorithms and data structures.
Experience with GPU programming, debugging and performance tuning on NVIDIA GPUs.
Knowledge and understanding of parallel programming, thread programming, concurrency control, memory management and scalability.
Strong understanding of computer system architecture and operating systems.
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 guide and influence within a multifaceted, technical environment.
Breaking a sophisticated problem to smaller modules that are fairly independent.
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 152,000 USD - 218,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.Similar Jobs
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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
