52 applicants

Company

NVIDIA · 8 hours ago

Senior Software Engineer, Kubernetes - DGX Cloud

California, United States

Full-time

Remote

Senior Level

$148K/yr - $339K/yr

5+ years exp

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Artificial Intelligence (AI)GPU

Growth Opportunities

H1B Sponsor Likely

Hiring Manager

Bella Yanovsky

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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.

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.

KubernetesGPU resource schedulingSoftware developmentGoPythonData structuresAlgorithmsCluster management systemsMonitoringHealth managementLarge-scale production systemsIncident management process

Required

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.

5+ 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.

Benefits

Equity

Benefits

Company

NVIDIA

Glassdoor

4.6

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

Founded in 1993

Santa Clara, California, USA

10,001+ employees

https://www.nvidia.com

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

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Trends of Total Sponsorships

2023 (735)

2022 (892)

2021 (696)

2020 (534)