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Solution Architect Digital Biology

Solution Architect Digital Biology

NVIDIAIndiana, PA, United States
23 hours ago
Job type
  • Full-time
Job description

Solution Architect Digital Biology

Join our team as a Solutions Architect in EMEA, where you will collaborate with life sciences customers to accelerate digital biology use cases. At NVIDIA, we have a group of exceptional developers and scientists who thrive on working with the latest GPU hardware and software. Our platform for ML / AI and high?performance computing has already had a significant impact on the healthcare industry, serving leading pharmaceutical companies, academic medical centers, and start?ups.

We are seeking an enthusiastic individual to join us in exploring new opportunities in the AI?powered digital biology revolution. As a Solution Architect, you will work as a trusted technical advisor to our customers in the pharmaceutical and techbio industries, who envision accelerated computing and artificial intelligence as a transformative force in their field. Join us on this thrilling journey and advance your career while empowering top organizations and institutions worldwide.

What You Will Be Doing

  • Guide customers through the end?to?end process of AI adoptionfrom requirements gathering and proof?of?concept development to deployment, integration, benchmarking and ongoing optimization.
  • Collaborate with business / account team to identify technical needs, customer goals, and strategies. Enable customer adoption of NVIDIA technology by mapping our solutions to use cases and driving positive relationships with technology partners.
  • Keep up to date on AI advancements in Digital Biology and relevant NVIDIA technology that enable this innovation.
  • Be a technical leader, bringing vision to the integration of NVIDIA technology into AI and HPC architectures for advanced applications, such as agentic AI, autonomous labs or drug discovery.
  • Engage with developers, researchers, data scientists, IT managers, and senior leaders internally and externally to gain experience in various technical areas.
  • Document and share knowledgebuild targeted training, write white papers, blog posts, wiki articles, or work through hard problems with a customer on a whiteboard.
  • Travel as required; use conferencing tools as needed to support customers.

What We Need To See

  • MS or PhD (or equivalent experience) in Computer Science, Computational Biology, Computational Chemistry, Computational Physics, or related fields with strong applied experience.
  • 5+ years of work?related experience with hands?on expertise in AI / ML for healthcare or life sciences.
  • Proven experience with Python and AI / ML frameworks (PyTorch, LangChain, or custom frameworks) and application to scientific questions.
  • Strong time?management and organizational skills for coordinating multiple initiatives and integrating new technology into complex projects.
  • Motivated self?starter, strong problem?solving and customer?facing communication skillseffective at presenting complex technical information. Passion for engaging with innovative individuals, continuous learning, and staying at the forefront of the field.
  • Ways To Stand Out From The Crowd

  • Demonstrated work in AI?at?scale related to multi?omics foundation models, protein structure prediction, drug discovery or clinical development.
  • Experience building, deploying, and optimizing agentic AI systems for healthcare and life sciences.
  • Experience developing, training and customizing Transformer models for healthcare and life sciences using libraries such as Transformer Engine or Megatron?LM.
  • Background accelerating scientific algorithms with parallel programming (CUDA), distributed supercomputing models, AI deployment / inference technologies (TensorRT), cloud deployment (AWS, Azure), or optimization frameworks (cuOpt).
  • Experience in the pharmaceutical industry or established thought leadership through publications or presentations on AI / ML applications in healthcare and life science.
  • Equal Opportunity

    NVIDIA is committed to fostering a diverse work environment and prides itself as an equal?opportunity employer. We do not discriminate 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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