Solutions Architect, CSP GTM

Overview

Solutions Architect (Physical AI / CSP GTM) working with hyperscaler partners and end-customers to develop and demonstrate Physical AI solutions using NVIDIA technologies.

What you'll do

• Develop and demonstrate Physical AI solutions for hyperscaler and NVIDIA technologies.
• Work with customers and hyperscaler partners to understand challenges and propose NVIDIA-based solutions.
• Analyze and optimize performance on GPU-accelerated systems, including training and inference pipelines.
• Partner with Engineering, Product, and Sales to align solutions to developer challenges.
• Enable product feature growth through customer feedback and proof-of-concept evaluations.
• Integrate NVIDIA technology into enterprise computing architectures.

What you'll need

• MS/PhD (or equivalent) in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other engineering fields.
• 5+ years in Solutions Architecture/Engineering in AI-related domains.
• Strong verbal and written communication skills, including presenting technical solutions in English.
• Expertise with Physical AI solutions on hyperscaler infrastructure.
• Academic and/or industry experience related to machine learning, deep learning, and/or data science.
• Comfort working across multiple teams and levels (Engineering, Product, Sales, Marketing).

Nice to have

• Background with Physical AI solutions and offerings using hyperscaler platforms.
• Experience running and optimizing large-scale distributed DL training and inference pipelines, including techniques like model compression, model compilation, or model serving.
• Background with working with larger transformer-based architectures.
• Expertise in DevOps technologies such as Docker, Kubernetes, and Singularity.

Details

• Location: Germany; work mode: Remote.