Customer-Embedded AI & GPU Deployment Architect (Remote)
fde
An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Job summary
Nvidia is seeking a customer-embedded architect to work across the AI stack, focusing on inference optimization, NIM microservices, and enterprise deployments on DGX and cloud GPU fleets. The role blends hands-on architecture with customer collaboration to drive production-scale AI workloads.
The position is remote-eligible within the United States, with Santa Clara as a reference location. You will interface closely with customers and internal teams to ensure successful deployments in on-prem
Job description
Nvidia is seeking a customer-embedded architect to work across the AI stack, focusing on inference optimization, NIM microservices, and enterprise deployments on DGX and cloud GPU fleets. The role blends hands-on architecture with customer collaboration to drive production-scale AI workloads.
The position is remote-eligible within the United States, with Santa Clara as a reference location. You will interface closely with customers and internal teams to ensure successful deployments in on-prem
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
