Senior IT Engineer at NVIDIA

Taipei, Taiwan

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, SemiconductorsIndustries

Requirements

Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience)
5+ years of experience in Information Technology Enterprise and Infrastructure engineering support/engineering roles
Broad knowledge of IT applications and infrastructure, strong experience in system administration and operations roles, and familiarity with incident management systems (e.g., Jira, ServiceNow)
Strong analytical and problem-solving skills, excellent communication and collaboration abilities, and proven capability to thrive in a fast-paced, dynamic environment while effectively prioritizing tasks
Ability to independently deliver innovative solutions with minimal direction, excellent attention to detail, organization, high-quality outputs, strong presentation and training skills for non-technical audiences, and demonstrated capability to assess business needs and creatively influence solutions
Proficient in Linux/Unix, Full Microsoft Stack (AD, Exchange), Network Infrastructure (Cisco), Application Engineering, Cisco Video Conferencing, and end-user endpoints (Mac/Windows), with experience using ticketing tools like Jira and ServiceNow for reporting and data analysis

Responsibilities

Collaborate with management and key stakeholders to develop, implement, and manage support, operational, and project objectives, identify and develop future processes across NVIDIA IT, remove friction in day-to-day operations, and lead continuous improvement initiatives by engaging leadership to deliver projects and initiatives
Investigate and troubleshoot complex system issues, identify root causes, and implement effective solutions. Collaborate with cross-functional teams to perform post-incident reviews, analyze trends, and implement preventive measures to improve system reliability
Collaborate with Tier 3 engineering teams to identify automation opportunities to reduce ticket volume and resolution times, and maintain and improve existing tools and solutions to address key business challenges
Collaborate with Tier 1 support and engineering teams for effective communication, provide mentorship, and maintain accurate documentation of systems and processes, contributing to knowledge base articles and incident response documentation
Stay up to date with the latest tech developments and introduce them where possible

Skills

IT Support

Troubleshooting

System Engineering

Automation

Process Improvement

Root Cause Analysis

Incident Management

Project Management

Cross-Functional Collaboration

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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