1 month ago
Gurgaon, IndiaSenior
Responsibilities
- Assist field business development with the technical sales process and own customer technical relationships.
- Help customers build innovative solutions based on NVIDIA platforms.
- Integrate NVIDIA technology into architectures supporting AI at scale.
- Design large-scale software and hardware solutions across AI and cloud environments.
- Advise on data center, compute, storage, networking, deep learning, machine learning, and accelerated analytics architectures.
- Provide pre-sales support including network, cloud, big-data and analytics sizing and RFP activities.
Requirements
- B.Tech. or MS in engineering, mathematics, physics, or computer science, or equivalent experience.
- 8+ years of work-related experience designing solutions for deep learning, high-performance computing, and cloud environments.
- Extensive experience with DevOps, Docker or containers, Kubernetes, and data center deployments.
- Excellent pre-sales experience with networking, cloud, big-data and analytics sizing, large-scale enterprise solutions, and RFPs.
- Experience with modern AI and cloud software stacks, deep learning software architecture, and frameworks is recommended.
- Deep understanding of data center design components including MEP, compute, storage, and networking.
- Strong analytical, problem-solving, communication, collaboration, customer-facing, presentation, and multitasking skills.
- Experience with networking, cloud, HPC, machine learning, deep learning, large-scale supercomputing builds, partners, OEMs, and distribution teams is preferred.
Tech Stack
Categories
Solutions Engineering
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.