Manager, Technical Professional Services at NVIDIA

Singapore, Singapore, Singapore

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Technology, Artificial Intelligence, High Performance ComputingIndustries

Requirements

Bachelor's or Master's degree (or equivalent experience) in Computer Science, Electrical Engineering, or Business Administration (with a focus on IT management)
5+ years of management experience and 10+ overall years of experience in datacenter operations, deployments, and management
Demonstrated leadership experience in planning and evaluating project activities
Effective coordination and performance supervision skills
Specialized task proficiency with the capability to solve intricate tasks with a sense of responsibility
Decision-making skills aligned with established standards and requirements
Independence, initiative, and discretion in responsibilities while maintaining professional-level resourcefulness
Commitment to excellence in implementing continuous improvement initiatives
Keen attention to detail and effective communication with collaborators, including other departments
Commitment to continuous learning and adaptation while developing and maintaining a positive and productive work environment

Responsibilities

Plan, organize, review, and evaluate team activities for NVIDIA Professional Services projects
Optimize project workflows using high-performance computing (HPC) in data centers, efficiently prioritizing and distributing workloads across large-scale clusters
Undertake diverse, sophisticated tasks with significant accountability
Leverage advanced computing resources for complex tasks, implementing powerful HPC technologies to enhance project sophistication
Demonstrate effective team leadership, directing day-to-day activities while ensuring adherence to established guidelines
Oversee daily operations, optimizing data center resources and ensuring adherence to HPC guidelines
Provide leadership in the development and execution of critical initiatives
Lead initiatives that enhance HPC capabilities
Drive projects applying data center resources for simulation and modeling, staying abreast of HPC advancements

Skills

HPC

Data Center Operations

Datacenter Deployments

High-Performance Computing

Cluster Management

Project Management

Team Leadership

AI Infrastructure

Simulation

Modeling

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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