NVIDIA

2 days ago

Senior 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: 23 hours agoStatus: Live

Job Summary

Build and scale production systems for DGX Cloud, enabling large GPU clusters for a wide range of AI workloads. Design and develop a massively distributed platform to identify, diagnose, and remediate non-performant GPU assets. Partner across NVIDIA to improve reliability and maximum performance, using incident management to evaluate failures and enhance services. Work on highly technical systems involving GPU resource scheduling and cluster operations.

Location: Santa Clara, Texas, Washington

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Be part of the DGX Cloud team responsible for production systems enabling large scalable GPU clusters for AI workloads.
•Design and develop a massively distributed platform to identify, diagnose, and remediate non-performant GPU assets.
•Collaborate across NVIDIA to ensure production AI clusters run reliably and consistently with maximum performance.
•Evaluate system failures and improve services using an incident management process.

Pay and Benefits

Salary: USD 152,000 - 287,500 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•5+ years in a software engineering role with experience on large-scale production systems and measurable impact.
•Direct experience with cluster operations, operator development, and node health monitoring, including GPU resource scheduling.
•Strong communication skills and the ability to work with cross-functional teams, principles/architects, and coordinate across organizational boundaries and geographies.
•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.

Experience:5+ years

Education:Bachelor's

Skills:CommunicationProblem-solvingExecution bias

Tech Stack:GoPythonKubernetesSlurmBase Command Manager

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

Loading job details...

Preparing the role view and application actions.

NVIDIA

2 days ago

Senior 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: 23 hours agoStatus: Live

Job Summary

Location: Santa Clara, Texas, Washington

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Be part of the DGX Cloud team responsible for production systems enabling large scalable GPU clusters for AI workloads.
•Design and develop a massively distributed platform to identify, diagnose, and remediate non-performant GPU assets.
•Collaborate across NVIDIA to ensure production AI clusters run reliably and consistently with maximum performance.
•Evaluate system failures and improve services using an incident management process.

Pay and Benefits

Salary: USD 152,000 - 287,500 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•5+ years in a software engineering role with experience on large-scale production systems and measurable impact.
•Direct experience with cluster operations, operator development, and node health monitoring, including GPU resource scheduling.
•Strong communication skills and the ability to work with cross-functional teams, principles/architects, and coordinate across organizational boundaries and geographies.
•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.

Experience:5+ years

Education:Bachelor's

Skills:CommunicationProblem-solvingExecution bias

Tech Stack:GoPythonKubernetesSlurmBase Command Manager

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