Engineering Manager – Software Configuration Management at NVIDIA

Bengaluru, Karnataka, India

Apply Now

Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Semiconductor, High Performance ComputingIndustries

Requirements

B.S. or M.S. in Computer Science, Computer Engineering, or equivalent experience
8+ years overall relevant experience with 4+ years of leadership experience
Track record leading an infrastructure team to improve efficiency and reliability driven by critical metrics and customer focused KPIs
Proficiency in project management including requirement gathering, planning, scheduling, and staffing
Knowledge of SCM methodologies with experience in GIT and/or Perforce
Ability to evaluate modern hardware and software technologies, including AI assistants, to scale services and reduce operational overhead
History of building automation to scale services and reduce operational overhead
Outstanding problem-solving skills and the ability to work collaboratively with customers and across teams and organizations
Strong SW engineering process skills including development, test, and deployment using infrastructure-as-code and CI/CD automation

Responsibilities

Collaborate with internal and external customers, partners, and leadership to define an “AI Ready” roadmap for SCM systems that enables our customers to increase product development efficiency
Lead a team to develop, deploy, and operate infrastructure, tools, and services for our large and continuously growing SCM eco-system
Foster a culture of operational excellence, encouraging teams to continuously strive to improve the customer experience and drive impactful results
Regularly communicate program status, accurately represent the importance of issues and call out issues appropriately, and be an enthusiast of data driven project management
Lead, grow, and coach your team to develop technical expertise, support their advancement, and prepare them to excel in new challenges
Work with customers, partners, and finance to forecast and manage the SCM budget, including deployments and refresh

Skills

Software Configuration Management

Engineering Management

DevOps

Cloud Infrastructure

On-Prem Systems

Team Leadership

Roadmap Planning

Operational Excellence

Scalable Systems

CI/CD

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.

Land your dream remote job 3x faster with AI

Try Jobo Free