NVIDIA
Senior System Software Engineer – Genomics HPC
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Senior System Software Engineer – Genomics HPC
role at
NVIDIA .
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.
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 in 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.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Industries Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing
Salary 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 - $235,750 for Level 3, and $184,000 - $287,500 for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted 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.
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Senior System Software Engineer – Genomics HPC
role at
NVIDIA .
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.
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 in 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.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Industries Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing
Salary 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 - $235,750 for Level 3, and $184,000 - $287,500 for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted 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.
#J-18808-Ljbffr