Senior Enterprise Support Engineer, AI Cloud at NVIDIA

📍 Job Overview

Job Title: Senior Enterprise Support Engineer, AI Cloud
Company: NVIDIA
Location: Seoul, Seoul, South Korea
Job Type: On-site, Full-time
Category: DevOps, Server Administration, Web Infrastructure
Date Posted: June 11, 2025

🚀 Role Summary

Key Responsibilities: Drive customer issues related to NVIDIA AI Enterprise products, collaborate with internal teams and customers, and improve product availability and reliability.
Key Skills: Python, scripting, cloud infrastructure, AI technologies, problem-solving, interpersonal skills, and communication.
Role Level: Senior (5-10 years of experience)

📝 Enhancement Note: This role requires a strong background in AI technologies and excellent communication skills to effectively work with customers and internal teams.

💻 Primary Responsibilities

Customer Issue Management: Take ownership of customer issues related to NVIDIA AI Enterprise products and drive them to resolution.
Cross-functional Collaboration: Work with customers, internal teams, and engineering teams to improve product availability and reliability.
Technical Problem Solving: Analyze, communicate, and problem-solve to improve the customer experience and incorporate technical solutions into the knowledge base.
Research and Development: Collaborate with engineering teams to research new use cases with GPUs and detail, reproduce, and resolve issues.

📝 Enhancement Note: This role requires a proactive approach to problem-solving, intellectual curiosity, and a team-oriented attitude to succeed in a dynamic environment.

🎓 Skills & Qualifications

Education: BS in Computer Science, Electrical Engineering, Computer Engineering, or a related field, or equivalent experience.

Experience: 5+ years of experience in system software development, cloud infrastructure, and troubleshooting customer issues.

Required Skills:

Strong understanding of computer science concepts with excellent knowledge of Python and scripting methodologies.
Proven grasp of datacenter, cloud, and AI technologies to provide comprehensive solutions for sophisticated installations, maintenance, or operations.
Superb professional-level interpersonal and communication skills.

Preferred Skills:

Experience with PyTorch, TensorFlow, or AI frameworks.
Background with server hardware support and Linux systems.
Experience developing with C and/or Python.
Certified in CSP (Azure, AWS, GCP, or OCI) or Hypervisor (Citrix, Nutanix, Red Hat, or VMware) Technologies.
Experience using Kubernetes, Docker, and other cloud-native technologies.

📝 Enhancement Note: While the above qualifications are essential, experience as a developer and/or support team member addressing customer concerns for large enterprise/service provider customers at a company that produces AI and data analytics software will make you an exceptionally strong candidate.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate problem-solving skills and experience with AI technologies through relevant projects.
Showcase your ability to work with customers and internal teams to improve product availability and reliability.

Technical Documentation:

Document your approach to troubleshooting customer issues and incorporating technical solutions into the knowledge base.
Highlight your experience with cloud infrastructure, server hardware support, and Linux systems.

💵 Compensation & Benefits

Salary Range: According to Glassdoor, the average salary for a Senior Support Engineer at NVIDIA in South Korea is approximately ₩80,000,000 - ₩100,000,000 per year. However, this can vary based on experience and skills.

Benefits:

Highly competitive salaries and a comprehensive benefits package.
Employee benefits include health, dental, and vision insurance, retirement plans, and more. (Source: NVIDIA Benefits)

Working Hours: 40 hours per week, with flexibility for deployment windows, maintenance, and project deadlines.

📝 Enhancement Note: Salary estimates are based on regional market research and may vary depending on experience and skills. Benefits information is sourced from the NVIDIA careers website and may be subject to change.

🎯 Team & Company Context

🏢 Company Culture

Industry: NVIDIA operates in the technology industry, focusing on AI, data analytics, and graphics processing units (GPUs).

Company Size: NVIDIA is a large company with over 20,000 employees worldwide, providing ample opportunities for collaboration and growth.

Founded: NVIDIA was founded in 1993 and has since grown to become a leading innovator in AI and graphics processing.

Team Structure:

The Enterprise Experience team focuses on improving the availability and reliability of NVIDIA AI Enterprise products.
The team works closely with customers, internal teams, and engineering teams to drive customer issues to resolution.

Development Methodology:

NVIDIA follows a structured approach to problem-solving, focusing on understanding customer needs, analyzing issues, and driving them to resolution.
The company encourages a culture of continuous learning and improvement, with a strong emphasis on innovation and collaboration.

Company Website: NVIDIA

📝 Enhancement Note: NVIDIA's company culture emphasizes innovation, collaboration, and continuous learning, providing a supportive environment for web developers and server administrators to grow and succeed.

📈 Career & Growth Analysis

Web Technology Career Level: This role is at the senior level, requiring a strong background in AI technologies, cloud infrastructure, and troubleshooting customer issues. The role offers opportunities for growth through working with customers, internal teams, and engineering teams to improve product availability and reliability.

Reporting Structure: This role reports directly to the Enterprise Experience team and works closely with customers, internal teams, and engineering teams.

Technical Impact: The role has a significant impact on NVIDIA AI Enterprise products, as the Senior Enterprise Support Engineer is responsible for driving customer issues to resolution and improving product availability and reliability.

Growth Opportunities:

Technical Growth: Expand your expertise in AI technologies, cloud infrastructure, and server hardware support through hands-on experience and collaboration with internal teams.
Leadership Development: Develop your leadership skills by working with customers, internal teams, and engineering teams to drive customer issues to resolution and improve product availability and reliability.
Architecture Decisions: Contribute to architecture decisions by providing insights into customer needs and industry trends.

📝 Enhancement Note: This role offers significant opportunities for growth through working with customers, internal teams, and engineering teams to improve product availability and reliability. The role also provides opportunities for technical growth and leadership development.

🌐 Work Environment

Office Type: NVIDIA's office is a collaborative workspace with ample opportunities for interaction with customers, internal teams, and engineering teams.

Office Location(s): Seoul, South Korea

Workspace Context:

Collaboration: The office encourages collaboration and cross-functional integration between teams, providing ample opportunities for knowledge sharing and technical mentoring.
Development Tools: NVIDIA provides access to the latest tools and technologies for cloud infrastructure, server hardware support, and AI technologies.
Work-Life Balance: NVIDIA offers a flexible work-life balance, with opportunities for remote work and flexible scheduling.

Work Schedule: The work schedule is typically 40 hours per week, with flexibility for deployment windows, maintenance, and project deadlines.

📝 Enhancement Note: NVIDIA's work environment encourages collaboration and cross-functional integration, providing a supportive environment for web developers and server administrators to grow and succeed.

📄 Application & Technical Interview Process

Interview Process:

Technical Assessment: Demonstrate your problem-solving skills and experience with AI technologies through a technical assessment.
Customer Interaction: Showcase your ability to work with customers and internal teams to improve product availability and reliability through a customer interaction simulation.
Technical Deep Dive: Discuss your approach to troubleshooting customer issues and incorporating technical solutions into the knowledge base.
Final Evaluation: Present your findings and recommendations to a panel of NVIDIA team members.

Portfolio Review Tips:

Highlight your problem-solving skills and experience with AI technologies through relevant projects.
Showcase your ability to work with customers and internal teams to improve product availability and reliability.
Document your approach to troubleshooting customer issues and incorporating technical solutions into the knowledge base.

Technical Challenge Preparation:

Brush up on your Python and scripting skills, as well as your knowledge of cloud infrastructure, server hardware support, and AI technologies.
Familiarize yourself with NVIDIA's products and services, as well as the company's culture and values.

ATS Keywords: Python, scripting, cloud infrastructure, AI technologies, problem-solving, interpersonal skills, communication, datacenter, Linux, Kubernetes, Docker, C, TensorFlow, PyTorch, server hardware support, Hypervisor Technologies

📝 Enhancement Note: The interview process for this role is designed to assess your problem-solving skills, experience with AI technologies, and ability to work with customers and internal teams to improve product availability and reliability.

🛠 Technology Stack & Web Infrastructure

Cloud Infrastructure:

AWS, Azure, GCP, or OCI (depending on customer requirements)
Kubernetes, Docker, and other cloud-native technologies

Server Technologies:

Linux (Red Hat, Ubuntu, etc.)
Server hardware support (depending on customer requirements)

AI Technologies:

PyTorch, TensorFlow, or other AI frameworks
NVIDIA's AI Enterprise products

Tools:

Python and scripting methodologies
Collaboration tools (e.g., Slack, Microsoft Teams)
Project management tools (e.g., Jira, Asana)

📝 Enhancement Note: The technology stack for this role is focused on cloud infrastructure, server hardware support, and AI technologies, with a strong emphasis on Python and scripting methodologies.

👥 Team Culture & Values

Web Development Values:

Innovation: NVIDIA values innovation and encourages team members to think creatively and push the boundaries of what's possible.
Collaboration: NVIDIA fosters a culture of collaboration and encourages team members to work together to achieve common goals.
Continuous Learning: NVIDIA encourages team members to continuously learn and improve their skills and knowledge.
Customer Focus: NVIDIA is committed to providing exceptional customer service and ensuring customer satisfaction.

Collaboration Style:

Cross-functional Integration: NVIDIA encourages collaboration between teams, providing ample opportunities for knowledge sharing and technical mentoring.
Code Review Culture: NVIDIA follows a structured approach to problem-solving, focusing on understanding customer needs, analyzing issues, and driving them to resolution.
Knowledge Sharing: NVIDIA encourages team members to share their knowledge and expertise with others, fostering a culture of continuous learning and improvement.

📝 Enhancement Note: NVIDIA's team culture emphasizes innovation, collaboration, and continuous learning, providing a supportive environment for web developers and server administrators to grow and succeed.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Customer Issue Resolution: Drive customer issues related to NVIDIA AI Enterprise products to resolution, working with customers, internal teams, and engineering teams.
Cloud Infrastructure Management: Manage cloud infrastructure for NVIDIA AI Enterprise products, ensuring availability and reliability.
AI Technology Adoption: Stay up-to-date with the latest AI technologies and incorporate them into NVIDIA AI Enterprise products.

Learning & Development Opportunities:

Technical Skill Development: Expand your expertise in AI technologies, cloud infrastructure, and server hardware support through hands-on experience and collaboration with internal teams.
Conference Attendance: Attend industry conferences and events to stay up-to-date with the latest trends and best practices in AI and cloud infrastructure.
Technical Mentorship: Provide technical mentorship to junior team members, fostering a culture of continuous learning and improvement.

📝 Enhancement Note: This role offers significant opportunities for growth through working with customers, internal teams, and engineering teams to improve product availability and reliability. The role also provides opportunities for technical growth and leadership development.

💡 Interview Preparation

Technical Questions:

Customer Issue Resolution: Describe your approach to driving customer issues related to NVIDIA AI Enterprise products to resolution.
Cloud Infrastructure Management: Explain your experience with cloud infrastructure and how you would ensure the availability and reliability of NVIDIA AI Enterprise products.
AI Technology Adoption: Discuss your experience with AI technologies and how you would incorporate the latest trends and best practices into NVIDIA AI Enterprise products.

Company & Culture Questions:

Customer Focus: Explain how you would ensure exceptional customer service and customer satisfaction in this role.
Collaboration: Describe your experience with cross-functional teams and how you would contribute to a culture of collaboration and knowledge sharing at NVIDIA.
Innovation: Discuss your approach to innovation and how you would push the boundaries of what's possible in this role.

Portfolio Presentation Strategy:

Customer Issue Resolution: Highlight your problem-solving skills and experience with AI technologies through relevant projects.
Cloud Infrastructure Management: Showcase your experience with cloud infrastructure and how you would ensure the availability and reliability of NVIDIA AI Enterprise products.
AI Technology Adoption: Demonstrate your knowledge of the latest AI technologies and how you would incorporate them into NVIDIA AI Enterprise products.

📝 Enhancement Note: The interview process for this role is designed to assess your problem-solving skills, experience with AI technologies, and ability to work with customers and internal teams to improve product availability and reliability.

📌 Application Steps

To apply for this Senior Enterprise Support Engineer, AI Cloud position at NVIDIA:

Submit Your Application: Visit the NVIDIA careers website and search for the job title "Senior Enterprise Support Engineer, AI Cloud" to submit your application.
Tailor Your Portfolio: Highlight your problem-solving skills and experience with AI technologies through relevant projects, showcasing your ability to work with customers and internal teams to improve product availability and reliability.
Optimize Your Resume: Emphasize your experience with cloud infrastructure, server hardware support, and AI technologies, as well as your problem-solving skills and ability to work with customers and internal teams.
Prepare for Technical Interviews: Brush up on your Python and scripting skills, as well as your knowledge of cloud infrastructure, server hardware support, and AI technologies. Familiarize yourself with NVIDIA's products and services, as well as the company's culture and values.
Research NVIDIA: Learn about NVIDIA's products, services, and company culture to demonstrate your understanding and enthusiasm for the role during the interview process.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development/server administration industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Senior Enterprise Support Engineer, AI Cloud