Solutions Architect, AI and ML

About the role

NVIDIA is seeking a Cloud Solution Architect to assist customers in adopting GPU hardware and software, and building and deploying Machine Learning (ML) and Deep Learning (DL) solutions on various Cloud Computing Platforms. This role involves working with Cloud Service Providers to develop and demonstrate solutions, build and deploy AI/ML solutions at scale, and partner with sales and development teams to secure new business opportunities.

Responsibilities

• Work with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA’s ML/DL and data science software and hardware technologies
• Build and deploy AI/ML solutions at scale using NVIDIA's AI software on cloud-based GPU platforms
• Create custom Proof of Concepts (PoCs) for solutions addressing customer's critical business needs using NVIDIA hardware and software technology
• Partner with Sales Account Managers or Developer Relations Managers to identify and secure new business opportunities for NVIDIA products and solutions in ML/DL and other software areas
• Prepare and deliver technical content to customers, including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.
• Conduct regular technical customer meetings for project/product roadmap, feature discussions, and introduction to new technologies
• Establish close technical ties with customers to facilitate rapid resolution of customer issues

Requirements

• 3+ years of Solutions Engineering (or similar Sales Engineering roles) or equivalent experience
• 3+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow or PyTorch, GPU, and CUDA experience extremely helpful
• Bachelor's/Master's/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or other Engineering fields or equivalent experience
• Established track record of deploying solutions in cloud computing environments including AWS, GCP, or Azure
• Knowledge of DevOps/ML Ops technologies such as Docker/containers, Kubernetes, data center deployments
• Ability to use at least one scripting language (i.e., Python)
• Good programming and debugging skills
• Able to communicate ideas/code clearly through documents, presentations, etc.

Qualifications

• AWS, GCP or Azure Professional Solution Architect Certification
• Hands-on experience with NVIDIA GPUs and SDKs (e.g. CUDA, RAPIDS, Triton etc.)
• System-level experience specifically GPU-based systems
• Familiarity with parallel programming and distributed computing platforms

Benefits

We offer competitive compensation, including base salaries ranging from $124,000 - $195,500 for Level 2 and $152,000 - $241,500 for Level 3, along with equity and benefits. Applications are accepted until March 8, 2026.

Pay

Base salary range: $124,000 - $195,500 for Level 2, and $152,000 - $241,500 for Level 3.

Schedule

Occasional travel may be required for local on-site visits to customers and industry events.

Skills

Experience with Deep Learning at scale, system-level experience specifically GPU-based systems, and familiarity with parallel programming and distributed computing platforms are beneficial.

Benefits

Comprehensive benefits package, including health insurance, retirement plans, and paid time off.

Equal Opportunity Employer

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.