Solutions Architect, Education and Research

Solutions Architect, Higher Education and Research

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We are 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 bring solutions that enable their success.

Your primary responsibilities will be to lead HPC and AI technical engagements at universities and research institutions. You should be comfortable working in a dynamic environment and have experience with HPC, deep learning, and GPU technologies. Your ability to work independently is important, and you will rely on your excellent interpersonal skills during customer engagements. You will work collaboratively across the entire team, including sales, program management, and business development.

• Engage customers with curiosity to understand their goals, strategies, and technical needs and help 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. This can include building targeted training, writing whitepapers, blogs, wiki articles, and working through hard problems with a customer on a whiteboard.
• Provide customer requirements to engineering to foster product and platform improvements.
• We utilize conferencing tools; 20% travel is required for this role. You are empowered to find the best way to get your job done and do what it takes to make our customers successful.

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

• 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).

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 - $235,750 for Level 3 and $184,000 - $287,500 for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until December 13, 2025.

NVIDIA is committed to fostering a diverse work environment and is 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.