Solutions Architect, AI and ML

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Collaborate with Cloud Service Providers to create and showcase solutions utilizing NVIDIA's ML/DL and data science software and hardware technologies.

• Develop and implement AI/ML solutions at scale using NVIDIA AI software on cloud-based GPU platforms.

• Create tailored proofs of concept that address key business challenges for customers using NVIDIA hardware and software.

• Work alongside Sales Account Managers or Developer Relations Managers to identify and secure new business opportunities.

• Prepare and present technical content for customers, including presentations and workshops.

• Hold regular technical meetings with customers to discuss project and product roadmaps, features, and new technologies.

• Build strong technical relationships with customers to ensure quick resolution of their issues.

• Interact directly with developers, researchers, and data scientists, collaborating with business and engineering teams on product strategy.

• Lead comprehensive technology solutions using NVIDIA technologies tailored to meet customer business requirements.

⛳️ Requirements

• Minimum of 4 years of experience in Solutions Engineering or a similar Sales Engineering role.

• At least 3 years of relevant experience in Deep Learning and Machine Learning.

• Proficiency with deep learning frameworks such as TensorFlow or PyTorch.

• Familiarity with GPU and CUDA is advantageous.

• Bachelor's, Master's, or PhD degree in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or another Engineering discipline, or equivalent experience.

• Proven experience deploying solutions in cloud environments like AWS, GCP, or Azure.

• Understanding of DevOps/ML Ops technologies such as Docker/containers, Kubernetes, and data center deployments.

• Proficient in at least one scripting language, such as Python.

• Strong programming and debugging capabilities.

• Ability to effectively communicate ideas and code through documentation and presentations.

• AWS, GCP, or Azure Professional Solution Architect Certification is a preferred asset.

• Hands-on experience with NVIDIA GPUs and SDKs including CUDA, RAPIDS, and Triton is preferred.

• Experience with GPU-based systems at a system level is preferred.

• Familiarity with scaling Deep Learning applications is preferred.

• Knowledge of parallel programming and distributed computing platforms is preferred.

🏝️ Benefits

• Equity

• Benefits

• Occasional travel for local on-site customer visits and industry events