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

MS/PhD degree in Machine Learning, Computational Science, Physics or related technical field.
Minimum of 5 years of technical experience in Physics-Machine Learning
Experience in engineering simulations (e.g. fluid dynamics, atmospheric science, Computer-Aided Engineering technologies)
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.

Solution Architect, Computer Aided Engineering

Key skills