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Nvidia Designer Jobs (NOW HIRING)

$46.75 - $64.25/hr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Experience crafting and deploying large-scale cluster environments, hands-on experience designing ...

Senior Architect, Data Center Modeling

$68.75 - $92/hr

NVIDIA designs graphics processing units and accelerated computing hardware for AI and high-performance computing applications. Founded in 1993, the company is headquartered in Santa Clara, USA, with ...

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Experience crafting and deploying large-scale cluster environments, hands-on experience designing ...

Senior AI Compute Engineer - NVIS

Santa Clara, CA · On-site

$127K - $173K/yr

NVIDIA designs graphics processing units and accelerated computing hardware for AI and high-performance computing applications. Founded in 1993, the company is headquartered in Santa Clara, USA, with ...

Senior Industrial Designer

Santa Clara, CA · On-site

$119K - $128K/yr

... designer. We are providing an outstanding perspective and build positive impact through the work we ... At NVIDIA, we are constantly evolving and crafting new categories as well as fundamentally ...

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Nvidia Designer information

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How much do nvidia designer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for nvidia designer in the United States is $26.76, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $31.73 per hour, depending on experience, location, and employer.

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Principal Software Engineer, Distributed Systems Engineer - DGX Cloud

Durham, NC • On-site

NVIDIA
Computer and Electronic Product Manufacturing • 10K+ employees

Full-time

Re-posted 29 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
NVIDIA is hiring experienced software engineers with kubernetes experience to help scale up its AI Infrastructure. The role involves working on production systems for large scalable GPU clusters and implementing monitoring capabilities to ensure reliability and performance.
Responsibilities:
• You will be part of an DGX Cloud team responsible for production systems that enable large scalable GPU clusters to be used for a variety of AI workloads. This includes working on custom software related to scheduling GPU resources on kubernetes.
• Implementing monitoring and health management capabilities that enable industry leading reliability, availability, and scalability of GPU assets. You will be harnessing multiple data streams, ranging from GPU hardware diagnostics to cluster and network telemetry.
• Working with teams across NVIDIA to ensure production AI clusters run reliability and consistently with maximum performance. Evaluating system failures and improving services based on a well-defined incident management process.
Qualifications:
Required:
• Significant software engineering experience with kubernetes including cluster operations, operator development, node health monitoring and working with GPU resource scheduling.
• Direct experience in a software engineering role within a highly technical organization with demonstrable impact from your work.
• Software development experience with kubernetes APIs and frameworks not just operating a cluster.
• Highly motivated with strong communication skills, you can work successfully with multi-functional teams, principles, and architects and coordinate effectively across organizational boundaries and geographies.
• 15+ years in similar role and experience on large-scale production systems.
• Experience with common software engineering principles, tools and techniques.
• You possess a BS in Computer Science, Engineering, Physics, Mathematics or a comparable Degree or equivalent experience.
• Technical knowledge, including a systems programming language (Go, Python) and a solid understanding of data structures and algorithms.
Preferred:
• Technical competency in managing and automating large-scale distributed systems independent of cloud providers.
• Advanced hands-on experience and deep understanding of cluster management systems (Kubernetes, Slurm, Bright Cluster Manager).
• Proven operational excellence in maintaining reliable and performant AI infrastructure.
Company:
NVIDIA designs graphics processing units and accelerated computing hardware for AI and high-performance computing applications. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US