20 hours ago
Tel Aviv-Yafo, IsraelSenior
Responsibilities
- Guide customers through the sales process for GPU computing products while owning the technical relationship.
- Help customers build innovative solutions based on NVIDIA technology.
- Integrate NVIDIA technology into HPC architectures supporting scientific and engineering applications.
- Champion deep learning and data science within the NVIDIA technical community.
- Develop demonstration solutions and showcase them to the AI ecosystem.
- Coordinate multiple initiatives, priorities, and technology implementations in complex projects.
Requirements
- Bachelor's or master's degree in engineering, mathematics, physics, or computer science, or equivalent experience.
- At least 5 years of software development or extensive data analytics experience.
- Experience with modern deep learning software architectures and frameworks, including PyTorch, VLLM, and Triton.
- Exposure to GPU technology and CUDA programming; CUDA experience is highly desirable.
- Demonstrated experience in strategy, research, and communications.
- Strong analytical, problem-solving, time-management, organizational, presentation, and collaboration skills.
- Experience participating in technical communities as an expert or highly engaged developer.
- Knowledge of developer digital platforms and trends is advantageous.
- Experience with containers, Kubernetes, and MLOps tools is advantageous.
- Exposure to C, C++, and Python is advantageous.
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.