NVIDIA · 13 hours ago
Principal Engineer, Distributed Systems - NIM Factory
Maximize your interview chances
Artificial Intelligence (AI)GPU
Growth OpportunitiesH1B Sponsor Likely
Insider Connection @NVIDIA
Get 3x more responses when you reach out via email instead of LinkedIn.
Responsibilities
Architect and build a software factory that will take an AI model and create deployable services across Cloud and On-prem Kubernetes environments
Design scalable services with resource efficiency to build and deploy distributed applications
Define and deliver rapid iterations of group's technical strategies and roadmaps for a scalable NIM factory system
Deliver a highly scalable and reliable factory architecture that operates with very high uptime while performant
Collaborate with multiple AI model teams to understand their requirements and build an efficient infrastructure that improves productivity
Define metrics and drive improvements based on user feedbacks
Partner with our NIM leadership to deliver a cohesive product to customers
Qualification
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.
Required
You possess advanced programming skills to build distributed and compute systems, backend services, microservices and cloud technologies
Experience on designing and implementing highly scalable Cloud Services with well defined APIs.
Ability to work optimally with multi-functional teams, principals and architects, across organizational boundaries
Deep technical expertise in Microservices, K8s, Cloud Endpoints, Temporal, Helm, Prometheus, Kafka
Passion for building rich, microservice applications with automated build and test pipeline
Excellent interpersonal skills and the ability to lead multi-functional efforts
BS or MS in Computer Science, Computer Engineering or related field (or equivalent experience)
12+ years of proven experience in performant microservice and/or cloud technical leadership roles in an agile software development environment.
12+ years of demonstrated ability in build, debugging, performance analysis and optimization
Preferred
Highly proficient in building distributed systems, Microservices, Cloud and On-prem deployments, and CI/CD pipelines
Prior experience in working with large scale full stack development
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (735)
2022 (892)
2021 (696)
2020 (534)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Recent News
2024-12-24
2024-12-24
thefastmode.com
2024-12-24
Company data provided by crunchbase