Solutions Architect, AI and ML

What You Will Be Doing

• Working 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

• Build custom PoCs for solutions that address customer’s critical business needs applying 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 for ML/DL and other software solutions

• Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions

• Conduct regular technical customer meetings for project/product roadmap, feature discussions, and introduction to new technologies, establishing close technical ties to the customer to facilitate rapid resolution of issues

What We Need To See

• 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 experience with deep learning frameworks such as Tensor Flow or PyTorch; GPU and CUDA experience is extremely helpful

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or related fields, or equivalent experience

• Established track record of deploying solutions in cloud computing environments including AWS, GCP, or Azure

• Knowledge of Dev Ops/ML Ops technologies such as Docker/containers, Kubernetes, data center deployments

• Ability to use at least one scripting language (e.g., Python)

• Good programming and debugging skills

• Ability to communicate ideas and code clearly through documents, presentations, etc.

Ways To Stand Out From The Crowd

• AWS, GCP or Azure Professional Solution Architect Certification

• Hands-on experience with NVIDIA GPUs and SDKs (e.g. CUDA, RAPIDS, Triton)

• System-level experience with GPU-based systems

• Experience with Deep Learning at scale

• Familiarity with parallel programming and distributed computing platforms

We make extensive use of conferencing tools; occasional travel to customer sites and industry events may be required.

NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We do not discriminate in hiring or promotion practices 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.

Your base salary will be determined based on your location, experience, and current pay for similar roles. The base salary range is 120,000 USD - 189,750 USD for Level 2, and 148,000 USD - 235,750 USD for Level 3. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 24, 2025.

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