NVIDIA is seeking a Solutions Architect to join their Higher Education and Research Team, focusing on accelerated computing to address significant scientific and engineering challenges. This role involves partnering with universities and research institutes to develop innovative HPC and AI solutions. The architect will support researchers in computational physics, engineering simulation, and high-performance computing. The position requires a strong technical background and a passion for helping the academic community succeed in their research goals.

• BS, MS or PhD in Computational Physics, Engineering, Computer Science, Applied Mathematics, or a related field, or equivalent experience
• 8+ years of hands-on experience in accelerated computing and knowledge of parallel computing with GPUs
• Experience porting and/or optimizing scientific or engineering applications targeting GPUs
• Strong fundamentals in programming and software design, especially in Python and C++
• Familiarity with computational physics or engineering simulation workflows, including numerical methods, model validation, uncertainty/error analysis, or simulation-data pipelines
• Excellent knowledge of the theory and practice of AI at scale, especially as applied to scientific, simulation, or physics-based workloads
• A dedication to clear and inclusive communication with a deep desire to partner with the academic community

• Partner with research universities and institutes to co-create innovative HPC and AI solutions using NVIDIA’s accelerated computing platform
• Collaborate with engineering, product, and business teams to align NVIDIA’s technical roadmap with the evolving strategies and complex workflows of the scientific and engineering research community
• Engage with developers and researchers to architect ground-breaking solutions in areas such as computational physics, multiphysics simulation, and engineering design exploration
• Help researchers move from high-fidelity simulation data to AI-enabled workflows, including surrogate models and real-time inference
• Profile and optimize the performance of scientific applications, AI training, and inference workloads

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.