Automation Integration Lead - Silicon Solution Group at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Semiconductor, TechnologyIndustries

Requirements

MS in EE, CE, CS, or Systems Engineering (or equivalent experience)
10+ years of large-scale software development experience and experience in framework architecture design
Strong skills in Python, Javascript
Experience in HTML5, CSS, NodeJS, or React
Hands-on experience in AI/ML and data analysis, preferably with exposure to large-scale datasets
Good communication and organization skills, with a logical approach to problem-solving, and task prioritization skills
Effective experience working with global multi-functional teams, principals, and architects across organizational boundaries

Responsibilities

Define clear vision and roadmap for productivity efficiency improvement solutions in alignment with business needs, and drive execution from design through delivery
Lead cross-function engineering teams on project deliverables commitment to streamline the system design and verification process and workflow
Partner with global automation and Infrastructure teams to design, build, and maintain large-scale, cloud-based and on-premises infrastructures
Stay hands-on technically, providing architectural guidance on complex infrastructure challenges
Cross-function Collaboration with ASIC, SW, System Design, Product, Security, and Operations teams to ensure reliability, scalability, and performance, fostering a culture of technical excellence, collaboration, and ownership
Continuously improve processes to ensure efficiency, reliability, and adaptability

Skills

Python

software development

framework architecture

post-silicon validation

automation integration

cloud infrastructure

on-premises infrastructure

ASIC

system design

leadership

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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