Senior Software Engineer, Distributed Systems Engineer - DGX Cloud at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Cloud ComputingIndustries

Requirements

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; ability to work successfully with multi-functional teams, principals, and architects, and coordinate effectively across organizational boundaries and geographies
5+ years in a similar role and experience on large-scale production systems
Experience with common software engineering principles, tools, and techniques
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
Significant software engineering experience with Kubernetes, including cluster operations, operator development, node health monitoring, and working with GPU resource scheduling

Responsibilities

Work on custom software related to scheduling GPU resources on Kubernetes as part of the DGX Cloud team responsible for production systems enabling large scalable GPU clusters for AI workloads
Implement monitoring and health management capabilities to enable industry-leading reliability, availability, and scalability of GPU assets, harnessing multiple data streams from GPU hardware diagnostics to cluster and network telemetry
Work with teams across NVIDIA to ensure production AI clusters run reliably and consistently with maximum performance
Evaluate system failures and improve services based on a well-defined incident management process

Skills

Kubernetes

Cluster Operations

Operator Development

Node Health Monitoring

GPU Resource Scheduling

GPU Hardware Diagnostics

Network Telemetry

Incident Management

Monitoring

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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