Senior Solutions Architect, Higher Education and Research at NVIDIA

Are you a computational scientist, engineer, or data scientist passionate about pushing the boundaries of artificial intelligence and high-performance computing (HPC)? NVIDIA is on the lookout for a talented Solutions Architect to collaborate with our customers in higher education and research institutions.

About the Role

As a Solutions Architect at NVIDIA, you'll blend your expertise as an outstanding developer or scientist with your love for helping customers utilize NVIDIA platforms to drive groundbreaking advancements. We seek individuals who can foster positive customer relationships, understand their requirements, and bring solutions that facilitate their success.

Primary Responsibilities

Your main tasks will include leading AI and HPC technical engagements at universities and research centers. This dynamic role requires experience with HPC, deep learning, and GPU technologies. Your ability to work both independently and collaboratively across teams—inclusive of sales, program management, and business development—is crucial.

Key Duties

• Engage with customers to understand their goals, strategies, and technical needs, then deliver innovative solutions based on NVIDIA's accelerated computing platforms for machine learning (ML), deep learning (DL), data science, and HPC.
• Stay updated on the latest advancements in scientific and AI computing ecosystems.
• Document and share your knowledge through targeted training sessions, whitepapers, blogs, wiki articles, and collaborative problem-solving with customers.
• Communicate customer requirements to engineering teams to drive product and platform enhancements.

This role involves significant use of conferencing tools, and occasional travel is required. We empower you to find the best strategies to achieve your goals and ensure customer success.

Qualifications

We are looking for candidates with:

• A MS or PhD in Engineering, Mathematics, Physical Sciences, Computer Science, or equivalent experience.
• 5+ years of relevant work experience.
• Experience in porting and/or optimizing scientific applications targeting GPUs.
• Exceptional communication skills, especially in presenting technical material.
• A passion for life-long learning and staying at the forefront of the technology ecosystem.
• Strong analytical and problem-solving skills.
• Self-motivation and the ability to multi-task effectively with minimal direction.

Preferred Skills

Stand out with:

• Full-stack scientific computing experience including parallel programming (C/C++, Python, CUDA, OpenACC, OpenMP, and MPI).
• A background in working with technical computing customers.
• Experience in designing and implementing computing infrastructures for AI and HPC workloads.
• Knowledge of orchestration tools for managing shared computing environments (e.g., Slurm, Kubernetes, NVIDIA Base Command Manager).

Why NVIDIA?

NVIDIA offers highly competitive salaries, a comprehensive benefits package, and an exceptional engineering work culture. The base salary ranges from $148,000 to $230,000, determined by your location, experience, and the compensation of employees in similar positions. Additionally, you will be eligible for equity and benefits.

At NVIDIA, we are committed to fostering a diverse work environment and are proud to be an equal-opportunity employer. We do not discriminate in hiring or promotion practices based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected characteristic.

Apply Today

NVIDIA accepts applications on an ongoing basis. Join us and be a part of a community that highly values diversity and inclusivity. Apply now and take the next step in your career with NVIDIA!