Senior Solutions Architect, Supercomputing

This is a fully remote position, open to applicants in California, +2 more states.

📋 Description

• Engage with customers, partners, and NVIDIA software engineers to collaborate with developers and support applications and platforms that utilize NVIDIA technology.

• Partner with industry and account teams in a client-facing role to comprehend customer objectives, strategies, and technical requirements.

• Assist in defining and delivering high-value solutions that address customer needs.

• Document knowledge and share insights through targeted samples, white papers, blogs, wiki articles, and customer problem-solving sessions.

• Lead the integration of NVIDIA technology into AI workloads and workflows, HPC, and enterprise GPU and networking architectures for datacenter and edge applications.

• Form strategic partnerships with leading customers and industry-specific solution partners focusing on NVIDIA’s computing platform.

• Educate customers via product roadmaps, presentations, briefings, and hands-on developer engagement.

• Act as a trusted technical advisor and leader to partners, customers, and the Solutions Architect team.

• Travel as necessary to support partners and customers.

⛳️ Requirements

• This role requires a security clearance and U.S. citizenship.

• Bachelor’s degree in Engineering, Mathematics, Physics, Computer Science, or equivalent experience.

• Over 8 years of relevant experience in data science or software development, with expertise in parallel computing using GPUs.

• Experience with modern application deployment practices, including Slurm, Docker/Containers, and Kubernetes.

• Familiarity with contemporary Generative AI and Agentic AI architecture and frameworks.

• Excellent written and verbal communication skills.

• Proven experience in supporting customers and partners in technical engagements.

• Strong organizational skills for managing multiple initiatives, priorities, and the integration of new technologies and products into complex projects.

• Highly developed analytical and problem-solving abilities.

• Experience applying data science to real industry challenges.

• Proficient in GPGPU programming and design methodologies.

• Experience in CUDA programming and optimization.

• Background in network software development.

• A published record of thought leadership in a technical domain or industry segment, including Deep Neural Networks, Machine Learning R&D, Agentic AI, surrogate models, or foundation models.

🏝️ Benefits

• Equity.

• Comprehensive benefits package.

• Some travel is required for this role.

• Flexible and empowered work approach to determine the most effective way to accomplish tasks.