We are now looking for a Solution Architect - Deep Learning based in Israel. The individual will collaborate with brand-new Agentic and Physical AI tools alongside Machine learning, Deep Learning, and Data analytics to improve workflows and develop groundbreaking solutions. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most dedicated individuals in the world working for us. If you're creative and autonomous, we want to hear from you!
What You'll Be Doing:
Assisting field business development in guiding the customer through the sales process for GPU Computing products, owning the technical relationship and assisting the customer in building innovative solutions based on NVIDIA technology.
Be a motivating leader in integrating NVIDIA technology into HPC architectures to support scientific and engineering applications.
Be an internal champion for Deep Learning and Data Science among the NVIDIA technical community.
Develop demo solutions and showcase to the AI ecosystem.
What We Need To See:
B.sc or M.sc in Engineering, Mathematics, Physics, or Computer Science or equivalent experience
5+ years of experience in software development or extensive data analytics, CUDA experience highly desirable.
Experience working with modern Deep Learning software architecture and frameworks including PyTorch, VLLM, Triton
Proven Exposure to GPU technology and CUDA programming
Demonstrable experience in strategy, research, communications.
Capable of working in a constantly evolving environment without losing focus.
Committed with strong analytical and problem solving skills.
Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.
Direct experience participating in communities (expertly or as highly engaged developer).
Ways To Stand Out From The Crowd:
Technical knowledge of developer digital platforms and their trends.
Experienced working with containers, Kubernetes and MLoPS tools
Exposure to C, C++ and Python.
Research background.
Good presentation skills
Skills Required
- Bachelor’s or master’s degree in Engineering, Mathematics, Physics, Computer Science, or equivalent experience
- 5+ years of experience in software development or extensive data analytics
- Experience with modern deep learning software architectures and frameworks, including PyTorch, vLLM, and Triton
- Exposure to GPU technology and CUDA programming
- Experience in strategy, research, and communications
- Strong analytical, problem-solving, time-management, and organizational skills
- Experience participating in technical or developer communities
- Knowledge of developer digital platforms and technology trends
- Experience with containers, Kubernetes, and MLOps tools
- Exposure to C, C++, and Python
- Research background
- Strong presentation skills
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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