[Remote] Senior Test Engineer at NVIDIA

Vietnam

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, Networking, TechnologyIndustries

Requirements

BSc/MSc or equivalent engineering degree in Computer Science, Electrical Engineering, or a related field
5+ years of related experience in software development and design
3+ years of proven experience in Python development
Excellent knowledge of a version control system (preferably GIT)
Linux based development
Experience with Software/Hardware products integration and HW lab measurement equipment
Experience with bringing up of large-scale automation solutions to large software teams
Excellent communication skills with hands-on experience collaborating with global teams
Excellent verbal and written communication in English
Self-motivation and a great teammate

Responsibilities

Design and develop automated tests for networking Switches and Adapters while working closely with the HW, ASIC, and SW Engineering teams to achieve a reliable test with high coverage
Exposed to various aspects of design, DFT, and test of NVIDIA's next-generation network products
Take a significant part in the definition and development of tests from the development level to the final test of Network-Systems
Utilize test suites to find, debug and resolve problems with production process
Ability to drive projects to full execution in time and working under pressure of schedule and multi project environment
Work in multi discipline environment to provide robust solutions and drive defects to resolution
Generate statistics about code quality, complexity, and coverage
Working with overseas engineering and manufacturing teams to increase yields, test coverage, and capacity, and reduce production costs
Supporting and fix bugs of existing code. Supporting production lines for: deployments, patches, maintenance
Test Verification and Validation (both HW and SW). Troubleshooting and streamlining/optimizing our testing procedures
Execute tests in different scopes such: regression, performance degradation, functional, and security; report the progress of testing and provide summary reports of the activity

Skills

Automated Testing

Networking Switches

Networking Adapters

HW Testing

SW Testing

ASIC

DFT

Test Design

Test Validation

Debugging

Python

C++

Test Suites

Regression Testing

Performance Testing

Functional Testing

Security Testing

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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