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Urgent! Solutions Architect - Deep Learning for Drug Discovery Job Opening In Remote – Now Hiring NVIDIA
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 plus
+ Experience 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 (https://www.nvidia.com/en-us/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.
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Unlock Your Solutions Architect Potential: Insight & Career Growth Guide
Real-time Solutions Architect Jobs Trends in Remote, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Solutions Architect in Remote, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 38756 jobs in United States and 241 jobs in Remote. This comprehensive analysis highlights market share and opportunities for professionals in Solutions Architect roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! NVIDIA is currently hiring and seeking a Solutions Architect Deep Learning for Drug Discovery to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at NVIDIA adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Solutions Architect Deep Learning for Drug Discovery Jobs United States varies, but the pay scale is rated "Standard" in Remote. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Solutions Architect Deep Learning for Drug Discovery typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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