Senior Manager, DGX Cloud Automation Engineering 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

Shown experience leading software engineering teams across different time zones
Deep understanding of cloud architecture, virtualization, global infrastructure, and security principles
Expertise in Kubernetes (K8s) and containerization technologies
Familiarity with Infrastructure as Code and major cloud service providers (AWS, Azure, GCP)
Strong background in CI/CD strategy and release engineering
Exceptional leadership, communication, and stakeholder management skills
BS/MS in Computer Science or related field (or equivalent experience)
12+ overall years of software engineering experience with 5+ years in leadership roles

Responsibilities

Build development, tests, release, and deployment processes
Create world-class performance and quality measurement and regression management tools
Maintain a high standard of excellence in automation tools for CI/CD, deployments, and release engineering
Provide strategic direction for designing and implementing scalable cloud-based systems for PaaS/IaaS
Coordinate collaboration with Product, QA, and Development teams to deliver new features and improvements
Drive improvements on release engineering for both on-premises and cloud deployments
Implement procedures for software quality, security, and performance across the team
Mentor and grow engineering talent, encouraging innovation and accountability

Skills

Cloud Automation

CI/CD

Release Engineering

PaaS

IaaS

GPU

DevOps

Performance Measurement

Regression Management

Scalable Systems

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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