Senior Solutions Architect, Energy Sector

What you'll do

• Develop a deep understanding of customer goals, strategies, and technical needs to define high-value solutions.
• Document technical knowledge by creating targeted samples, whitepapers, blogs, and wiki articles.
• Lead the integration of NVIDIA technology into AI, HPC, and enterprise GPU architectures for energy applications.
• Strategically partner with key customers and solution partners to target computing platforms in the energy sector.
• Serve as a bridge between internal teams, partners, and customers by providing technical expertise and guidance.

What we're looking for

• MS or PhD in Engineering, Mathematics, Physics, Computer Science or equivalent experience.
• 8+ years of work-related experience in data science or software development with knowledge of parallel computing with GPUs.
• Experience with modern Deep Learning software architecture and frameworks, including CUDA programming.
• Background working with modern application deployment practices such as Docker/Containers and Kubernetes.
• Strong written and oral communication skills for collaborating with management and engineering.
• Experience in the energy industry or engaging with clients/partners involved in the energy field.
• Time-management and organizational skills for coordinating multiple initiatives and implementing new technology into sophisticated projects.