Join NVIDIA as a Solution Architect, Computer Aided Engineering. In this role, you'll leverage deep expertise in AI solutions to drive the efficient use of our compute platforms across industries. You will act as a trusted technical advisor to CAE developers and customers, embedding NVIDIA software into their architectures to improve application performance, increase productivity, and build the technical foundation for next-generation AI systems.
What You'll Do
- 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.
What We're Looking For
- MS/PhD degree in Machine Learning, Computational Science, Physics or a related technical field.
- A minimum of 5 years of technical experience in Physics-Machine Learning.
- Experience in engineering simulations such as fluid dynamics, atmospheric science, or 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 like PyTorch and Tensorflow.
- Familiarity with containers, numerical libraries, modular software design, version control, and 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.
- Great teammate who can learn, react and adapt quickly with a mentality to work for a fast-paced environment.
Nice to Have
- Development experience with NVIDIA software libraries and GPUs.
- Experience with Kubernetes, distributed training, and large-scale inference.
- Experience supporting or utilizing PCIe accelerators such as GPUs, FPGAs, DSPs from evaluation to production stages.
Technical Stack
- Python, C/C++, PyTorch, Tensorflow
- GPU-based distributed systems, containers, numerical libraries
- GitHub, Kubernetes
Team & Environment
You will be part of a Team of 4 Solution Architects, partnering closely with Industry Business leads, Account Managers, and Developer Relations managers.
Benefits & Compensation
- Highly competitive salaries.
- Extensive benefits package.
- Work environment that promotes diversity, inclusion, and flexibility.
NVIDIA is an equal opportunity employer committed to fostering a supportive and empowering workplace for all.
