Senior Manager, AI Infrastructure Engineering - DGX Cloud at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, Cloud ComputingIndustries

Requirements

12+ overall years of proven experience in software engineering or related technical roles, with 5+ years in engineering leadership, including managing multiple teams or technical programs
BS degree in Computer Science or a related technical field, or equivalent experience
Demonstrated success in building and scaling systems that support incident, change, and problem management across complex, high-scale environments
Experience leading teams in the adoption and integration of AI/ML technologies to enhance operational insight, efficiency, and automation
Excellent interpersonal skills, with the ability to synthesize and convey technical and operational issues to executive stakeholders and multi-functional audiences
Strong people leadership skills—you know how to develop engineers, grow new teams, and drive alignment and execution in high-pressure, high-visibility situations

Responsibilities

Lead a team of software and AI engineers responsible for building systems that power incident, change, and problem management across the DGXC Universe
Guide technical strategy and execution across multiple workstreams across multiple teams
Partner with infrastructure, product, and security teams to design resilient systems and enforce consistent operational practices across domains
Own the roadmap and delivery of AI/ML-powered operational tools—improving incident classification, root cause analysis, and mitigation automation
Develop and scale engineering teams to meet growing demands; mentor engineers and technical leads while fostering a high-performing, collaborative culture
Represent the team in cross-organizational forums, drive alignment on priorities, and provide clear technical direction during complex or high-severity incidents

Skills

Key technologies and capabilities for this role

AI/MLSoftware EngineeringIncident ResponseChange ManagementProblem ManagementRoot Cause AnalysisAutomationCloud InfrastructureGPUDebugging

Questions & Answers

Common questions about this position

What is the salary for this Senior Manager role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What experience is required for this role?

The role requires 12+ years of experience in software engineering or related technical roles, with 5+ years in engineering leadership managing multiple teams or programs, plus a BS in Computer Science or equivalent.

What is the company culture like for this team?

The role emphasizes fostering a blameless culture of continuous improvement, empowering the team, and building a high-performing, collaborative culture through strong people leadership.

What makes a candidate stand out for this position?

Candidates stand out with experience leading the design and rollout of internal platforms or operational tooling used company-wide, especially in high-scale or hybrid cloud environments, along with hands-on experience.

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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