Senior Manager, System Software Platform Engineering at NVIDIA

Ho Chi Minh City, Vietnam

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

B.Sc. in SW / Computer or equivalent experience
8+ years of overall experience
5+ years of experience in managing a team
Knowledge of AI Products and Services, System Platform to deliver AI Products and Services such as MLOps and/or Continuous Delivery of AI/ML Products and Services
Experience in team management
Creative, motivated, and value driven person
Ways to stand out from the crowd:
Experience with setting up a delivery platform of complex AI/ML Products and Services, from conception to final delivery
Background with low level GPU programming, performance analysis and improvement
Experience in CUDA programming
Ability to be hands on and guide others how to develop embedded SW

Responsibilities

Be responsible for the design and delivery of the most reliable, performing and efficient system software platform for AI products and services
Define, develop and design process, manage teams of junior and experienced System SW engineers
Work with continuous integration, continuous delivery of system software
Be responsible for NVIDIA System Software Platform, work closely with the testing team, support team and stakeholders across time zones
Innovate! Bring NVIDIA's AI software and services to shine in customer's view

Skills

Key technologies and capabilities for this role

System SoftwareMLOpsContinuous IntegrationContinuous DeliveryCUDAGPU ProgrammingPerformance AnalysisEmbedded SoftwareAI ProductsTeam Management

Questions & Answers

Common questions about this position

What experience is required for the Senior Manager, System Software Platform Engineering role?

Candidates need a B.Sc. in SW/Computer or equivalent, 8+ years of overall experience, and 5+ years managing a team, along with knowledge of AI Products and Services and system platforms for AI delivery.

Where is this position located?

The role is based at NVIDIA's Vietnam R&D Center.

What does NVIDIA look for in a strong candidate?

NVIDIA seeks creative, motivated, value-driven individuals with experience in team management, and prefers those with hands-on skills in low-level GPU programming, CUDA, and setting up delivery platforms for complex AI/ML products.

What is the company culture like at NVIDIA?

NVIDIA is considered one of the world’s most desirable employers with forward-thinking, hardworking people, rapidly growing exclusive engineering teams, and a passion for technology and innovation.

What is the salary or compensation for this role?

This information is not specified in the job description.

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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