Solutions Architect - HPC/AI

Employment Type: Full-time

Salary: $184,000 - $287,500 USD (base salary, determined by location, experience, and pay equity)

• Eligibility for equity and benefits.

Position Overview

NVIDIA is seeking outstanding Solutions Architects to assist and support customers building solutions with our newest High Performance Computing (HPC) and Artificial Intelligence (AI) technologies. As a Solutions Architect at NVIDIA, you will work across different teams, helping customers leverage the latest Accelerated Computing and Deep Learning software and hardware platforms. This is an opportunity to join a growing company at the forefront of technological advancement, working on exciting projects focused on HPC and AI, and collaborating with scientific researchers and developers at Universities and Research Institutions. You should be comfortable in a dynamic environment and possess experience with HPC, AI, and GPU technologies. This role offers an excellent opportunity to work within an interdisciplinary team at NVIDIA.

Responsibilities

• Partner with other solutions architects, engineering, product, and business teams to understand their strategies and technical needs.
• Help define high-value solutions for customers.
• Dynamically engage with developers, scientific researchers, and data scientists.
• Work closely with universities to help them adopt and build creative solutions using NVIDIA technology.
• Provide support and ensure customer success, which may require some travel.

Requirements

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering, or a related field (or equivalent experience).
• 8+ years of hands-on experience in accelerated computing.
• Knowledge of parallel computing with GPUs.
• Experience porting and/or optimizing scientific applications targeting GPUs.
• Strong fundamentals in programming and software design, especially in Python and C++.
• Strong problem-solving and debugging skills.
• Excellent knowledge of the theory and practice of AI at scale.
• Excellent presentation, communication, and collaboration skills.

Ways to Stand Out

• Experience with NVIDIA GPUs and parallel programming libraries, such as CUDA, OpenMP, OpenACC, communication libraries, and runtime (MPI, NCCL, UCX, NVSHMEM).
• Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design.
• Experience working with the academic research community supporting HPC or AI.
• Familiarity with distributed computing platforms, containers, and scheduling tools.

Company Information

NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and 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. NVIDIA accepts applications on an ongoing basis.