4 open listings
Roles posted by organizations here, alongside roles we found on employers’ own careers sites. Crawled roles say so on the card and send you to the employer to apply. Only show organizations on Career App
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Sr. Technical Enablement Engineer
Crusoe
Full-time · 2 locations · $140,000 – $170,000
Crusoe seeks a senior technical enablement engineer to train customers on their cloud platform, create technical content and demos, and represent the company as a subject matter expert at industry events. This role suits someone with deep Kubernetes expertise who enjoys translating complex infrastructure concepts for diverse audiences and building educational materials in a fast-growing startup.
Listed on Crusoe’s careers site · Apply there ↗
Choose a location to apply
Senior Software and System Architect
NVIDIA
4 locations
NVIDIA is seeking an architect to define system and software designs for their data center networking technologies, particularly DPUs and NICs, working across cloud orchestration, security, and virtualization. This role suits someone with deep systems knowledge who can bridge hardware and application layers and guide multiple teams toward innovative, production-ready solutions.
Listed on NVIDIA’s careers site · Apply there ↗
Choose a location to apply
Senior Cloud Platform Engineer
Comcast
$113,887 – $187,099
Comcast is looking for a cloud platform engineer to design and optimize their large-scale OpenStack private cloud infrastructure supporting thousands of hosts. This role suits experienced systems engineers comfortable with automation, Linux, and complex distributed systems who want to work on enterprise-grade cloud platforms.
Listed on Comcast’s careers site · Apply there ↗
Senior Production Engineer, Object Store - DGX Cloud
NVIDIA
$176,000 – $333,500
This role involves designing, deploying, and optimizing large-scale GPU storage systems that power NVIDIA's cloud services, managing everything from architecture to operational automation. It suits engineers with deep experience in distributed storage, Linux systems, and cloud infrastructure who want to own storage performance and reliability across AI/ML workloads at scale.
Listed on NVIDIA’s careers site · Apply there ↗