Solutions Architect, Higher Education and Research

at Nvidia
📍 World
📍 United States
USD 148,000-287,500 per year
MIDDLE SENIOR
✅ Remote ✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Docker @ 3 Kubernetes @ 3 Python @ 3 Data Science @ 3 Communication @ 3 Mathematics @ 3 Parallel Programming @ 3 Debugging @ 6 CUDA @ 3

Details

Are you a computational scientist, engineer or data scientist passionate about working on the frontiers of artificial intelligence and high performance computing (HPC)? NVIDIA is searching for a Solutions Architect to work with our customers in higher education and research. Solutions Architects are drawn from outstanding developers and scientists who enjoy helping our customers use the NVIDIA platform to make ground-breaking advances. We need people who can develop positive relationships with customers, learn their requirements and work to bring solutions that enable their success.

Responsibilities

  • Lead HPC and AI technical engagements at universities and research institutions.
  • Engage customers with curiosity to understand their goals, strategies, and technical needs and help to deliver innovative solutions based on NVIDIA's accelerated computing platforms for ML/DL, data science and HPC.
  • Stay abreast of the state of the art in scientific and AI computing ecosystems.
  • Document knowledge and teach others (build targeted training, write whitepapers, blogs, wiki articles, and work through hard problems with a customer on a whiteboard).
  • Provide customer requirements to engineering to foster product and platform improvements.
  • Work collaboratively across the team including sales, program management and business development.
  • Use conferencing tools heavily; role requires approximately 20% travel.

Requirements

  • BS, MS or PhD in Engineering, Mathematics, Physical Sciences, or Computer Science or equivalent experience.
  • 5+ years relevant work experience.
  • Experience porting and/or optimizing scientific applications targeting GPUs.
  • Strong fundamentals in programming, problem-solving and debugging skills.
  • Excellent presentation, communication and collaboration skills.
  • Enjoy life-long learning and staying at the forefront of the technology ecosystem.

Ways to stand out

  • Experience working with the academic research community supporting HPC or AI.
  • Full-stack scientific computing experience including parallel programming in languages such as C/C++, Python, CUDA, OpenACC, OpenMP and MPI.
  • Experience designing and implementing computing infrastructure to support AI and HPC workloads.
  • Experience with orchestration and containerization tools used to manage a shared computing environment (e.g., Slurm, Kubernetes, NVIDIA Base Command Manager, Docker, Apptainer/Singularity).

Compensation & Benefits

  • Base salary ranges (location and level dependent):
    • Level 3: 148,000 USD - 235,750 USD
    • Level 4: 184,000 USD - 287,500 USD
  • Eligible for equity and benefits (link to NVIDIA benefits).

Additional information

  • Location: US (Illinois) and Remote.
  • Travel: ~20% required.
  • Applications accepted at least until December 13, 2025.
  • NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.