You are a seasoned professional with a degree in a technical field and over eight years of hands-on experience in machine learning, deep learning, and data anal
Work type: remote
Location: US, CA, Santa Clara | US, TX, Remote | US, NY, Remote | US, CA, Remote
Salary: $184,000 – $287,500/yr
Type: Full-time
You are a seasoned professional with a degree in a technical field and over eight years of hands-on experience in machine learning, deep learning, and data analytics. You possess the advanced programming expertise required to architect large-scale AI systems and integrate them into production environments. **What makes it worth a look...** NVIDIA offers a remote-friendly role with a competitive salary range of $184,000 to $287,500 annually. You will gain direct exposure to cutting-edge generative AI deployment, GPU acceleration, and agentic workflows at a global leader in computing. **You might be a good fit if you...** * Write production-level Python code and have strong debugging skills. * Manage containerized AI workloads using Docker, Kubernetes, and Helm. * Understand MLOps practices and cloud infrastructure on AWS, Azure, or GCP. * Have working knowledge of GPU libraries like NeMo, RAPIDS, or cuVS.
NVIDIA is seeking outstanding AI Solutions Architects to assist and support customers that are building solutions with our newest AI technology. At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Data Analytics and Deep Learning software and hardware platforms. We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement?
You will become a trusted technical advisor with our customers, work on exciting projects and deploy AI solutions in production using Data Processing for Generative AI. You will also collaborate with a diverse set of internal teams on innovative AI optimization techniques, operating at the intersection of algorithms and systems. You should be comfortable working in a dynamic environment, and have experience with Deep Learning, LLMs and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team at NVIDIA!
What You Will Be Doing:
You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).
Applications for this job will be accepted at least until April 19, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.