Solutions Architect, Generative AI Specialist
at Nvidia
📍 United States
$120,000-276,000 per year
SCRAPED
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Docker @ 4 Kubernetes @ 4 Linux @ 7 DevOps @ 4 Python @ 7 Spark @ 7 Machine Learning @ 4 MLOps @ 4 Data Science @ 7 TensorFlow @ 7 Bash @ 7 Communication @ 7 Mathematics @ 7 Debugging @ 7 API @ 4 PyTorch @ 7Details
Do you want to be part of the team that brings Artificial Intelligence (AI) emerging technology to the field? We are looking for a Solution Architect or Data Scientist to join the NVIDIA AI Specialist team focused on Machine Learning, Deep Learning, and Accelerated Data Analytics.
If you are passionate about AI and how it can be applied to solve real-world problems, we should talk. NVIDIA is the world leader in GPU accelerated computing and AI, and is looking for developers like you to design and build enterprise AI solutions using our newest technology. As a member of the AI Specialist Solution Architecture team, you will work closely with customers and partners to tackle hard problems across industries and build and deploy AI solutions in production at scale.
Responsibilities
- Developing end-to-end Machine Learning & Deep Learning solutions that enable Enterprise use cases, and providing deep technical product expertise to customers adopting NVIDIA AI SDKs and APIs.
- Creating solutions using innovative technology for Machine Learning and Deep Learning, including Large Language Models, Computer Vision systems, Recommender systems, and Advanced Generative AI systems.
- Identifying common trends in customer success and using that knowledge to improve NVIDIA products and build creative solutions.
- Sharing expert knowledge with others through hands-on training, writing papers, and teaching.
Above all, you will be part of the team that helps bring NVIDIA technology to life in the Enterprise. You’ll have access to tools and support from other teams within NVIDIA, empowering you to be a trusted expert advisor to our customers and partners.
Requirements
- Strong foundational expertise from a BS, MS, or Ph.D. degree in Engineering, Mathematics, Physics, Computer Science, Data Science, or related fields (or equivalent experience).
- 5+ years of experience in Deep Learning and Machine Learning; experience with GPUs and deep learning frameworks like TensorFlow or PyTorch.
- Strong analytical and problem-solving skills, coding and debugging skills in Python, C/C++, Bash, as well as experience with Cloud services, Spark, and Linux.
- Experience with NVIDIA Infrastructure, DevOps, and MLOps, including Docker/Containers, Kubernetes, and Cloud AI deployments.
- Ability to multitask effectively in a dynamic environment and strong communication skills for collaboration with executives and engineering teams.
- A desire to share knowledge with clients, partners, and colleagues.
Benefits
The base salary range is 120,000 USD - 276,000 USD. You will also be eligible for equity and benefits. NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.