Solution Architect, Computer Aided Engineering

Join Us as a Solution Architect in Computer Aided Engineering

At NVIDIA, we are looking for Solution Architects with a strong background in AI solutions. In this role, you will be a key technical advisor to our CAE developers and customers. You will help integrate NVIDIA software into developers’ systems, enhancing application performance and productivity.

About the Role

You will work closely with our Business Development and Sales teams, collaborating with industry leads and account managers to support our developers’ ecosystem. Your expertise will help drive the efficient use of our cutting-edge compute platforms across various industries.

What You'll Do

• Support Business Development and Sales teams, working alongside a team of 4 to ensure our developers’ ecosystem thrives.
• Engage directly with developers and customers in a customer-facing role.
• Assist developers in adopting NVIDIA libraries and software frameworks for modern AI and data platforms.
• Analyze application architectures to identify acceleration opportunities.
• Provide feedback and collaborate with engineering, product, and research teams.
• Conduct trainings, hackathons, and technical demonstrations on NVIDIA solutions and platforms.

What We're Looking For

• MS/PhD degree in Machine Learning, Computational Science, Physics, or a related technical field.
• At least 5 years of technical experience in Physics-Machine Learning.
• Experience in engineering simulations, such as fluid dynamics or Computer-Aided Engineering technologies.
• Familiarity with accelerated computing platforms and GPU-based distributed systems.
• Proficiency in algorithm programming using languages like Python and C/C++.
• Development experience with major AI frameworks, such as PyTorch and TensorFlow.
• Knowledge of containers, numerical libraries, modular software design, and version control (GitHub).
• Experience in designing, prototyping, and building complex AI/ML solutions for customers.
• Able to understand components like data pipelines, models, compute, networking, and orchestration.
• Strong written and verbal communication skills, with experience in collaborative environments.
• A team player who can learn quickly and adapt in a fast-paced setting.

Nice to Have

• Development experience with NVIDIA software libraries and GPUs.
• Experience with Kubernetes, distributed training, and large-scale inference.
• Experience with PCIe accelerators such as GPUs, FPGAs, or DSPs from evaluation to production stages.

What We Offer

NVIDIA is leading the way in Artificial Intelligence, High-Performance Computing, and Visualization. We provide competitive salaries and a comprehensive benefits package. Our work environment values diversity, inclusion, and flexibility. As an equal opportunity employer, we are dedicated to creating a supportive workplace for everyone.