NVIDIA
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Senior Cloud Platform Software Engineer
role at
NVIDIA .
NVIDIA is on the journey to build the best cloud offering for AI workloads and to bring its latest GPU technology to our clients as a set of managed services under the DGX Cloud umbrella. We want to innovate on behalf of our clients and provide an easy, no‑hassle way of using the latest NVIDIA products through scalable managed self‑service APIs. This is a unique opportunity to be a founding member of a team building at the intersection of a highly scalable, fault‑tolerant cloud services and AI.
What You'll Be Doing
As part of the service team, build and design platforms for DGX Cloud services
Integrate HPC and Kubernetes to create a unified platform
Collaborate with software engineers, product people, and engineering teams across NVIDIA on DGX Cloud AI Compute services
Write IaC code, work on Kubernetes, and help design and implement release pipelines
Apply GitOps and pipeline best practices
What We Need To See
BS in Computer Science, Information Systems, Computer Engineering, or equivalent experience
Solid technical foundation in distributed computing and storage, including experience with server systems, storage, I/O, networking, and system software
12+ years of platform engineering experience on large‑scale production systems
Expertise in Kubernetes and IaC
Ability to understand and communicate complex designs, distributed infrastructure, and requirements to peers, customers, and vendors
Knowledge of shared storage such as NFS, LustreFS, GlusterFS, etc.
Familiarity with system‑level architecture, such as interconnects, memory hierarchy, interrupts, and memory‑mapped I/O
Ways To Stand Out From The Crowd
Proven experience in high‑performance computing, deep learning, or GPU accelerated computing domains
Experience with Slurm and Kubernetes for large‑scale distributed systems, HPC, ML, and training
Deep knowledge of both software and hardware in HPC and ML infrastructure
Base salary will be determined based on location, experience, and comparable positions. The base salary range is $224,000 USD – $356,500 USD.
You will also be eligible for equity and benefits.
Applications will be accepted until September 22, 2025.
NVIDIA is committed to fostering a diverse work environment and is proud to be an equal‑opportunity employer. We do not discriminate 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.
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Senior Cloud Platform Software Engineer
role at
NVIDIA .
NVIDIA is on the journey to build the best cloud offering for AI workloads and to bring its latest GPU technology to our clients as a set of managed services under the DGX Cloud umbrella. We want to innovate on behalf of our clients and provide an easy, no‑hassle way of using the latest NVIDIA products through scalable managed self‑service APIs. This is a unique opportunity to be a founding member of a team building at the intersection of a highly scalable, fault‑tolerant cloud services and AI.
What You'll Be Doing
As part of the service team, build and design platforms for DGX Cloud services
Integrate HPC and Kubernetes to create a unified platform
Collaborate with software engineers, product people, and engineering teams across NVIDIA on DGX Cloud AI Compute services
Write IaC code, work on Kubernetes, and help design and implement release pipelines
Apply GitOps and pipeline best practices
What We Need To See
BS in Computer Science, Information Systems, Computer Engineering, or equivalent experience
Solid technical foundation in distributed computing and storage, including experience with server systems, storage, I/O, networking, and system software
12+ years of platform engineering experience on large‑scale production systems
Expertise in Kubernetes and IaC
Ability to understand and communicate complex designs, distributed infrastructure, and requirements to peers, customers, and vendors
Knowledge of shared storage such as NFS, LustreFS, GlusterFS, etc.
Familiarity with system‑level architecture, such as interconnects, memory hierarchy, interrupts, and memory‑mapped I/O
Ways To Stand Out From The Crowd
Proven experience in high‑performance computing, deep learning, or GPU accelerated computing domains
Experience with Slurm and Kubernetes for large‑scale distributed systems, HPC, ML, and training
Deep knowledge of both software and hardware in HPC and ML infrastructure
Base salary will be determined based on location, experience, and comparable positions. The base salary range is $224,000 USD – $356,500 USD.
You will also be eligible for equity and benefits.
Applications will be accepted until September 22, 2025.
NVIDIA is committed to fostering a diverse work environment and is proud to be an equal‑opportunity employer. We do not discriminate 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.
#J-18808-Ljbffr