At NVIDIA, we believe that accelerated computing is key to solving the world’s most significant scientific and engineering challenges. We are looking for a Solutions Architect to join our Higher Education and Research Team, where you will serve as a technical partner to the visionaries shaping the future of discovery!
In this role, you will be an integral part of a team supporting higher education universities and research institutes across the nation, with a focus on computational physics, engineering simulation, scientific AI, and high-performance computing. You will help researchers harness NVIDIA platforms to accelerate simulation, build trusted AI surrogates, train scientific foundation models, and unlock new workflows in areas such as fluid dynamics, multiphysics simulation, engineering design exploration, and physics-based modeling at scale. If reading this gets you excited and energized to help researchers solve hard computational physics and engineering problems, then we would love to meet you.
What you'll be doing:
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%
What we need to see:
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 to help others succeed in their research goals
Ways to stand out from the crowd:
Excellent GPU programming skills, including debugging, profiling, code optimization, performance analysis, and test design
Experience supporting HPC, AI, computational physics, engineering simulation, or scientific computing workflows.
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
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 www.nvidiabenefits.com/
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 USD - 287,500 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.Skills Required
- BS, MS or PhD in Computational Physics, Engineering, Computer Science, Applied Mathematics, or related field, or equivalent experience
- 8+ years 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, and uncertainty/error analysis
- Excellent knowledge of the theory and practice of AI at scale, especially for scientific, simulation, or physics-based workloads
- Clear and inclusive communication skills and ability to partner with academic researchers
- 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, or JAX
- Experience building AI-enabled simulation workflows using neural operators, physics-informed models, graph neural networks, or reduced-order models
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
-
Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
-
Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
-
Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
