Senior Solutions Architect, AI - Accelerated Physics

About the role

We are seeking a Solutions Architect to join our Higher Education and Research Team. The ideal candidate will have a strong background in computational physics, engineering, computer science, applied mathematics, or a related field, with extensive experience in accelerated computing and parallel computing with GPUs. The role involves partnering with research universities and institutes to co-create innovative HPC and AI solutions using NVIDIA's accelerated computing platform.

Responsibilities

• 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, engineering design exploration, and the next generation of Scientific Foundation Models
• Help researchers move from high-fidelity simulation data to AI-enabled workflows, including surrogate models, neural operators, physics-informed models, reduced-order models, differentiable simulation, and real-time inference
• Profile and optimize the performance of scientific applications, AI training, and inference workloads so sophisticated research workflows reach their full potential on accelerated systems
• Travel requirement up to 20%

Requirements

• 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
• 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 to help others succeed in their research goals

Qualifications

• Excellent GPU programming skills, including debugging, profiling, code optimization, performance analysis, and test design
• Familiarity with NVIDIA scientific computing and AI tools such as PhysicsNeMo, NVIDIA Warp, PyTorch, JAX, or related frameworks
• Experience building AI-enabled simulation workflows using neural operators, physics-informed models, graph neural networks, and/or reduced-order models
• A desire to learn and grow within an encouraging, forward-thinking community dedicated to solving the world’s most significant computational science and engineering challenges

Skills

• Clear and inclusive communication
• Partnership with the academic community
• Expertise in computational physics and engineering simulation
• Proficiency in AI and machine learning
• Experience with NVIDIA tools and technologies

Benefits

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family here. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $184,000 - $287,500. You will also be eligible for equity and benefits.

Pay

Base salary range: $184,000 - $287,500

Schedule

Full-time