NVIDIA

2 months ago

Principal Software Engineer, Distributed Systems Engineer - DGX Cloud

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Lead the development of production systems that scale large GPU clusters for AI workloads, focusing on Kubernetes-based resource scheduling, cluster operations, and health monitoring. Collaborate across teams to ensure reliable, high-performance AI infrastructure, implement incident management processes, and drive automation to improve reliability and scalability of GPU assets.

Location: Durham, United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Develop and maintain production systems enabling scalable GPU clusters for diverse AI workloads, including custom software for scheduling GPU resources on Kubernetes.
•Design and implement monitoring and health-management capabilities to achieve high reliability, availability, and scalability of GPU assets using hardware diagnostics and telemetry.
•Collaborate with cross-functional teams to ensure AI clusters run reliably and with maximum performance; participate in incident management and post-incident improvements.
•Evaluate system failures and drive improvements through a well-defined incident management process.
•Contribute to software engineering efforts beyond cluster operations, leveraging Kubernetes APIs and related frameworks to advance infrastructure solutions.

Pay and Benefits

Salary: USD 248,000 - 396,750

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•15+ years in a similar role with experience on large-scale production systems.

Experience:15+ yearsDistributed systemsAI infrastructure

Education:Bachelor's in Computer ScienceNot specified

Skills:CommunicationProblem-solvingTeam collaboration

Languages:English

Tech Stack:KubernetesGoPythonSlurmBright Cluster ManagerGPUCluster management

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

2 months ago

Principal Software Engineer, Distributed Systems Engineer - DGX Cloud

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: Durham, United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Develop and maintain production systems enabling scalable GPU clusters for diverse AI workloads, including custom software for scheduling GPU resources on Kubernetes.
•Design and implement monitoring and health-management capabilities to achieve high reliability, availability, and scalability of GPU assets using hardware diagnostics and telemetry.
•Collaborate with cross-functional teams to ensure AI clusters run reliably and with maximum performance; participate in incident management and post-incident improvements.
•Evaluate system failures and drive improvements through a well-defined incident management process.
•Contribute to software engineering efforts beyond cluster operations, leveraging Kubernetes APIs and related frameworks to advance infrastructure solutions.

Pay and Benefits

Salary: USD 248,000 - 396,750

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•15+ years in a similar role with experience on large-scale production systems.

Experience:15+ yearsDistributed systemsAI infrastructure

Education:Bachelor's in Computer ScienceNot specified

Skills:CommunicationProblem-solvingTeam collaboration

Languages:English

Tech Stack:KubernetesGoPythonSlurmBright Cluster ManagerGPUCluster management

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor