
Advanced Solutions Developer
2 semanas atrás
We are seeking a visionary expert to lead our efforts in integrating NVIDIA technology into AI, HPC, and enterprise GPU and networking architectures for advanced applications both in the datacenter and at the edge.
This role requires a deep understanding of customer goals, strategies, and technical needs as well as the ability to define and deliver high-value solutions meeting these needs.
Responsibilities- Partner with industry and account teams to develop a keen understanding of customer goals, strategies, and technical needs.
- Define and deliver high-value solutions meeting customer needs.
- Document knowledge and teach others through various means such as building targeted samples, writing whitepapers, blogs, and wiki articles.
- Be an industry leader with vision on integrating NVIDIA technology into AI, HPC, and enterprise GPU and networking architectures for advanced applications both in the datacenter and at the edge.
- Strategically partner with lighthouse customers and industry-specific solution partners targeting our computing platform.
- B.S., M.S., or PhD in Engineering, Mathematics, Physics, Computer Science or equivalent experience.
- 5+ years of work-related experience in data science or software development with knowledge of parallel computing with GPUs.
- Background working with modern application deployment practices including Docker/Containers and Kubernetes.
- Experience with modern Deep Learning software architecture and frameworks.
- Strong written and oral communication skills with the ability to effectively collaborate with management and engineering.
- Experience supporting customers/partners in technical engagements.
- Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.
- Strong analytical and problem-solving skills.
- Experience applying data science to industry problems.
- Creative generation of synthetic data.
- Experience using GPGPU programming and design practices.
- CUDA programming and optimization experience.
- Deep Neural Network research and development experience with industry data.
- Machine Learning research and development experience with industry data.
- Published record of thought leadership in a technical area or industry segment.
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