System Software Engineer, Post-Silicon Validation Infrastructure - Tools Quality Control at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, Technology, HardwareIndustries

Requirements

MS in EE, CE, CS, or Systems Engineering (or equivalent experience)
10+ years of validation tools development experience
Strong skills in Python, C/C++, Javascript
Good system validation knowledge, including CPU, memory, GPU, PCIE, and thermal/power control
Experience with QA flow management or project management
Good communication and organization skills, with a logical approach to problem-solving, and task prioritization skills
Fluent in English, both written and verbal

Responsibilities

Get familiar with NVIDIA's design and verification development environment, flow, and process
Brainstorm with board design teams, silicon solution teams, software teams, and application engineer teams to settle down specific requirements and choose suitable methodologies to develop platform/silicon validation infrastructure
Search and integrate existing applications into the infrastructure flow or develop new applications based on the infrastructure flow to facilitate chip/product feature qualifications and improve coverage/efficiency
Build innovative ways to automate and expand the infrastructure/tools validation
Drive test plans for new features of the infrastructure/tools on each new chip to make sure the quality of the software solution
Drive the compliance flow of the infrastructure/tools
Work on challenging technical and process issues and help define better and reliable workflows to avoid the issues in the future
Architect crucial next-generation product features and work with multi-functional teams to drive them to production

Skills

C++

Python

System Software

Post-Silicon Validation

Automation

Tool Integration

Quality Control

Compliance

GPU

SOC

Software Design

Debugging

Test Plans

Verification

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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