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Solutions Architect - Deep Learning for Drug Discovery

NVIDIA

Software and Technology Jobs

Solutions Architect - Deep Learning for Drug Discovery

full-timePosted: Oct 21, 2025

Job Description

NVIDIA is seeking a Solutions Architect to join our team, focused on redefining the biopharma industry through AI-powered drug discovery. As a trusted technical advisor, you will collaborate with leading pharmaceutical companies, biotechs, and research organizations across North America to accelerate breakthroughs in healthcare using NVIDIA’s computing platform. Our solutions architects are elite developers and scientists who thrive in a fast-paced environment, applying deep learning, machine learning, and high-performance computing to solve complex scientific challenges. You will play a pivotal role in driving innovation by building proof-of-concept demonstrations, scaling AI deployments, and fostering relationships with key customers. This position offers the opportunity to work on groundbreaking projects that are revolutionizing how drugs are discovered and developed. If you are passionate about AI and computational science and have a background in life sciences or related fields, we invite you to help shape the future of healthcare with NVIDIA. What you will be doing: You will partner with our business / account team working with customers to develop a keen understanding of their goals, strategies, and technical needs as well as help to define and deliver high-value solutions meeting these needs. Staying up on the state of the art in the production deep learning and machine learning methods. You'll be called on to help architect and scale high-performance, distributed, AI deployments that are built on the latest NVIDIA GPU supercomputers. Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard. Be an industry leader with vision on integrating NVIDIA technology into AI and HPC architectures for advanced applications, such as medical imaging or drug discovery. Strategically partner with lighthouse customers and industry-specific solution partners targeting our computing platform. We make heavy use of conferencing tools, but some travel is required for this role. You are empowered to find the best way to get your job done and make our customers successful. What we need to see: MS or PhD (or equivalent experience) in Computer Science, Computational Biology, Computational Chemistry, Computational Physics, Chemical Engineering, Biophysics with strong applied experience in these domains. 5+ years of work-related experience in software development of deep learning or GPU acceleration methods for scientific applications. 3+ years of work-related experience with deep learning software architecture and frameworks or high performance computing applications. Proficient in the Linux/GNU toolchain and operating as a user in HPC cluster environments.Full-stack scientific computing experience including software development in scientific programming languages, such as Python, C/C++, and/or CUDA. Excellent communication skills particularly in the presentation of highly technical material. Must enjoy interacting with forward-thinking people, life-long learning, and staying at the forefront of the domain Ways to stand out from the crowd: Demonstrated work in training and inference at scale and expertise in accelerated computing with GPU.Cloud platform expertise on AWS, Azure and/or GCP. Experience with genomics, virtual cells, or molecular dynamics is a plusExperience in the pharmaceutical industry or with customers/partners in the pharmaceutical domain is a plus. Published record of thought leadership in a technical area or industry segment.NVIDIA is 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. If you're creative and autonomous, we want to hear from you! 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 October 25, 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.

Locations

  • MA, US (Remote)

Salary

Estimated Salary Rangemedium confidence

17,000,000 - 34,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • deep learningintermediate
  • machine learningintermediate
  • high-performance computingintermediate
  • AI deploymentsintermediate
  • NVIDIA GPU supercomputersintermediate
  • computational scienceintermediate
  • life sciencesintermediate
  • distributed systemsintermediate
  • medical imagingintermediate
  • drug discoveryintermediate
  • HPC architecturesintermediate
  • whitepaper writingintermediate
  • blog writingintermediate
  • training deliveryintermediate
  • technical advisingintermediate
  • customer collaborationintermediate
  • problem solvingintermediate
  • strategic planningintermediate

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NVIDIA logo

Solutions Architect - Deep Learning for Drug Discovery

NVIDIA

Software and Technology Jobs

Solutions Architect - Deep Learning for Drug Discovery

full-timePosted: Oct 21, 2025

Job Description

NVIDIA is seeking a Solutions Architect to join our team, focused on redefining the biopharma industry through AI-powered drug discovery. As a trusted technical advisor, you will collaborate with leading pharmaceutical companies, biotechs, and research organizations across North America to accelerate breakthroughs in healthcare using NVIDIA’s computing platform. Our solutions architects are elite developers and scientists who thrive in a fast-paced environment, applying deep learning, machine learning, and high-performance computing to solve complex scientific challenges. You will play a pivotal role in driving innovation by building proof-of-concept demonstrations, scaling AI deployments, and fostering relationships with key customers. This position offers the opportunity to work on groundbreaking projects that are revolutionizing how drugs are discovered and developed. If you are passionate about AI and computational science and have a background in life sciences or related fields, we invite you to help shape the future of healthcare with NVIDIA. What you will be doing: You will partner with our business / account team working with customers to develop a keen understanding of their goals, strategies, and technical needs as well as help to define and deliver high-value solutions meeting these needs. Staying up on the state of the art in the production deep learning and machine learning methods. You'll be called on to help architect and scale high-performance, distributed, AI deployments that are built on the latest NVIDIA GPU supercomputers. Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard. Be an industry leader with vision on integrating NVIDIA technology into AI and HPC architectures for advanced applications, such as medical imaging or drug discovery. Strategically partner with lighthouse customers and industry-specific solution partners targeting our computing platform. We make heavy use of conferencing tools, but some travel is required for this role. You are empowered to find the best way to get your job done and make our customers successful. What we need to see: MS or PhD (or equivalent experience) in Computer Science, Computational Biology, Computational Chemistry, Computational Physics, Chemical Engineering, Biophysics with strong applied experience in these domains. 5+ years of work-related experience in software development of deep learning or GPU acceleration methods for scientific applications. 3+ years of work-related experience with deep learning software architecture and frameworks or high performance computing applications. Proficient in the Linux/GNU toolchain and operating as a user in HPC cluster environments.Full-stack scientific computing experience including software development in scientific programming languages, such as Python, C/C++, and/or CUDA. Excellent communication skills particularly in the presentation of highly technical material. Must enjoy interacting with forward-thinking people, life-long learning, and staying at the forefront of the domain Ways to stand out from the crowd: Demonstrated work in training and inference at scale and expertise in accelerated computing with GPU.Cloud platform expertise on AWS, Azure and/or GCP. Experience with genomics, virtual cells, or molecular dynamics is a plusExperience in the pharmaceutical industry or with customers/partners in the pharmaceutical domain is a plus. Published record of thought leadership in a technical area or industry segment.NVIDIA is 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. If you're creative and autonomous, we want to hear from you! 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 October 25, 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.

Locations

  • MA, US (Remote)

Salary

Estimated Salary Rangemedium confidence

17,000,000 - 34,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • deep learningintermediate
  • machine learningintermediate
  • high-performance computingintermediate
  • AI deploymentsintermediate
  • NVIDIA GPU supercomputersintermediate
  • computational scienceintermediate
  • life sciencesintermediate
  • distributed systemsintermediate
  • medical imagingintermediate
  • drug discoveryintermediate
  • HPC architecturesintermediate
  • whitepaper writingintermediate
  • blog writingintermediate
  • training deliveryintermediate
  • technical advisingintermediate
  • customer collaborationintermediate
  • problem solvingintermediate
  • strategic planningintermediate

Target Your Resume for "Solutions Architect - Deep Learning for Drug Discovery" , NVIDIA

Get personalized recommendations to optimize your resume specifically for Solutions Architect - Deep Learning for Drug Discovery. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Solutions Architect - Deep Learning for Drug Discovery" , NVIDIA

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

United States of America

Answer 10 quick questions to check your fit for Solutions Architect - Deep Learning for Drug Discovery @ NVIDIA.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.