Senior AI Solutions Architect

NVIDIA • Santa Clara, CA

1d • Onsite

About The Position

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years, fueled by innovation and amazing people. Today, NVIDIA is leveraging the unlimited potential of AI to define the next era of computing, where GPUs act as the brains of computers, robots, and self-driving cars that can understand the world. This role is for a Solution Architect with deep expertise in AI solutions and scalable data center infrastructure, tasked with driving the build and efficient use of innovative compute platforms in Saudi Arabia. The successful candidate will serve as a trusted technical advisor to developers and customers, embedding NVIDIA software into customer architectures and workflows. This position plays a direct role in improving application performance, increasing developer productivity, and establishing the technical foundation for next-generation AI systems.

Requirements

• MS/PhD degree in Machine Learning, Computational Science, Physics or related technical field (or equivalent experience).
• 4+ years of experience in AI, ML, DL, NLP, and/or Generative AI.
• Familiarity with accelerated computing platforms and GPU-based distributed systems.
• Experience in algorithm programming using languages like Python and C/C++.
• Development experience using major AI frameworks (e.g., PyTorch, Tensorflow, and similar tools)
• Familiarity with containers, numerical libraries, modular software design, version control, GitHub
• Experience designing, prototyping, and building complex AI/ML-based solutions for customers.
• Able to reason across components such as data pipelines, models, compute, networking, and orchestration.
• Solid written and oral communications skills and familiarity with collaborative environments.
• Team players, can learn, react and adapt quickly with an attitude to work for a fast-paced environment.

Nice To Haves

• Development experience with NVIDIA software libraries and GPUs.
• Experience with Kubernetes, distributed training, and large-scale inference.
• Experience supporting or using PCIe accelerators such as GPUs, FPGAs, DSPs from evaluation to production stages.
• Familiarity with embedded domain-specific languages (EDSL) like CUDA, OneAPI, OpenCL, or HDL.

Responsibilities

• Support Business Development and Sales teams as part of a Team of 4, partnering with Industry Business leads, Account Managers, and Developer Relations managers to drive our developers’ ecosystem success.
• Work directly with developers and customers in a customer-facing setting
• Support developers in adopting NVIDIA libraries and software frameworks as the foundation for modern AI and data platforms.
• Analyze application architectures and find opportunities for acceleration.
• Provide feedback and collaborate with engineering, product and research teams.
• Deliver trainings, hackathons and technical demonstrations on NVIDIA solutions and platforms

Benefits

• equity
• benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees