Description
Do you want to be part of the team that brings innovative Artificial Intelligence (AI) from research to reality? We are looking for a Solutions Architect to join the AI Software Segment SA team. Our team specializes in the newest technology and advances in deep learning, Generative AI, and Cloud. The vision of the AI SW Segment team is to use our deep expertise, at the intersection of research and engineering, to guide and enable the successful adoption of NVIDIA AI software in the enterprise!
If you are passionate about AI and how it can be applied to address real-world problems, we should talk. As a member of the Solution Architecture team, you will work closely with customers and partners to solve hard problems in customizing and deploying AI workloads at scale.
You will develop end-to-end AI solutions for enterprise use cases, tackle sophisticated AI challenges, support a broad model portfolio, partner with enterprise customers, and contribute to the wider organization and community by sharing your expert knowledge.
Above all, you will be part of the team that helps bring NVIDIA technology to life in the Enterprise! We empower you and give you the tools to achieve this with the backing of all of NVIDIA, including other Solution Architects, Product, Engineering and Research teams. You’ll get to be the face and trusted expert advisor that our customers and partners rely on.
We are looking for someone with strong foundational expertise, from a BS, MS, or Ph.D. degree in Engineering, Mathematics, Physics, Computer Science, Data Science, or similar (or equivalent experience).
You will have 5+ years of experience with AI frameworks such as PyTorch, JAX, or TensorFlow, and libraries like Hugging Face Transformers.
You will be proficient in Python programming, software design, debugging, and performance analysis, with at least 5+ years of experience in a Linux environment.
You will have hands-on experience with AI model lifecycle, including evaluation, failure analysis, pre-training, post-training, RL, and model optimization.
You will be able to learn fast and quickly adapt to change.
You will have clear written and oral communications skills with the ability to effectively collaborate with executives and engineering teams.
You will also be eligible for equity and benefits.