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NVIDIA logo
NVIDIA

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. NVIDIA is committed to fostering an inclusive 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 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.

Senior Solutions Architect – Healthcare, Life Sciences

Solutions EngineerSolutions EngineerOtherRemoteSeniorTeam 10,001+Since 1993H1B SponsorCompany SiteLinkedIn

Location

California

Posted

177 days ago

Salary

$152K - $241.5K / year

Seniority

Senior

Postgraduate Degree5 yrs expEnglishDockerKubernetesPython

Job Description

Senior Solutions Architect – Healthcare, Life Sciences

NVIDIA

• Partner with researchers and scientists 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 AI and HPC for scientific applications while helping architect and scale high-performance, distributed, AI HPC deployments built on the latest NVIDIA GPU supercomputers. • Be an industry leader with a vision of integrating NVIDIA technology into AI and HPC architectures for advanced applications in scientific computing. • Building, running, and deploying large scale workloads on NVIDIA Supercomputers.

Job Requirements

  • MS or PhD in Computational Biology, Computational Chemistry, Computational Physics, Chemical Engineering, Biophysics, or Computer Science with strong applied experience in these domains (or equivalent experience).
  • 5+ years of relevant experience in software development of high-performance computing for scientific applications.
  • Demonstrated ability accelerating scientific simulations using AI methods (e.g., AI-driven molecular dynamics or physics-informed neural networks) and managing the associated software architecture.
  • Expertise in running compute environments using schedulers (Slurm, Kubernetes) and containerization technologies (Docker, Singularity/Apptainer) for reproducible scientific workflows.
  • Hands-on experience with major molecular dynamics or quantum chemistry packages (e.g., GROMACS, NAMD, AMBER, VASP, Gaussian) and their optimization on GPU architectures.
  • 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.

Benefits

  • Equity
  • Benefits

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