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Solutions Architect, Education and Research

Job in Coos Bay, Coos County, Oregon, 97458, USA
Listing for: NVIDIA
Full Time position
Listed on 2026-01-14
Job specializations:
  • IT/Tech
    AI Engineer, Systems Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 287500 USD Yearly USD 287500.00 YEAR
Job Description & How to Apply Below
Position: Solutions Architect, Higher Education and Research

Employer Industry: High-Performance Computing and Artificial Intelligence

Why consider this job opportunity
  • Salary range up to $287,500
  • Eligible for equity and comprehensive benefits
  • Opportunity for career advancement and growth within a cutting‑edge technology environment
  • Engage with forward‑thinking professionals and contribute to innovative solutions in AI and HPC
  • Flexibility to work independently while collaborating with diverse teams
  • Chance to make a significant impact in higher education and research sectors
What to Expect (Job Responsibilities)
  • Lead HPC and AI technical engagements with customers in universities and research institutions
  • Understand customers' goals and technical needs to deliver tailored solutions using NVIDIA's platforms
  • Document knowledge and create training materials, including whitepapers and blogs
  • Provide customer requirements to engineering for product and platform enhancements
  • Travel 20% of the time to engage directly with customers and support their success
What is Required (Qualifications)
  • BS, MS, or PhD in Engineering, Mathematics, Physical Sciences, Computer Science, or equivalent experience
  • Minimum of 5 years of relevant work experience
  • Experience in porting and optimizing scientific applications for GPUs
  • Strong communication skills, especially in presenting complex technical information
  • Strong fundamentals in programming, problem‑solving, and debugging skills
How to Stand Out (Preferred Qualifications)
  • Experience working with the academic research community in HPC or AI
  • Full‑stack scientific computing experience, including parallel programming in C/C++, Python, CUDA, OpenACC, OpenMP, and MPI
  • Experience designing and implementing computing infrastructure for AI and HPC workloads
  • Familiarity with orchestration and containerization tools (e.g., Slurm, Kubernetes, Docker)

We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position.

Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer.

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