System Software Engineer - DFX Software at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, Artificial IntelligenceIndustries

Requirements

Excellent communication skills
MS or higher degree in EE or CS (or equivalent experience)
3+ years of strong experience in C++ Software development in fields related to Silicon testing and Automatic Test Equipment (ATE)
2+ years working with AI code generation, tooling, models and deep learning to develop software applications. Practical understanding of modern AI architectures and how to apply them
Strong python and scripting skills
Good familiarity with gitlab and software development workflows
Familiarity with BDD and TDD software development practices
Ways to stand out from the crowd
Knowledge of Design for Test (DFT) including fault models, ATPG, and fault simulation
Familiarity with creating scalable, containerized (e.g., Docker) development environments

Responsibilities

Work with design team to understand Hardware specification for Software development
Develop automation Software to enable efficient test pattern generation, application of these patterns on Silicon, failure analysis, and yield learning
Enable AI applications to optimize all aspects of our software and software workflows
Integrating advanced tools for CI/CD, code quality, and automated testing
Solving software engineering challenges, from automating code generation and testing to optimizing developer workflows
Work with multi-functional teams to assess and tackle problems that involve multiple areas of expertise through the company

Skills

Key technologies and capabilities for this role

C++Silicon TestingTest Pattern GenerationFailure AnalysisAICI/CDAutomated TestingCode GenerationYield Learning

Questions & Answers

Common questions about this position

What is the salary range for this System Software Engineer position?

The base salary range is 148,000 USD - 287,500 USD, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What skills are required for this role?

Required skills include excellent communication, MS or higher in EE or CS, 3+ years in C++ software development related to Silicon testing and ATE, 2+ years with AI code generation and deep learning, strong Python and scripting skills, familiarity with GitLab and software workflows, and BDD/TDD practices.

What is the company culture like at NVIDIA for this team?

The team fosters and encourages innovation, fuels creativity, and owes its success to some of the brightest people in the world. They pride themselves on tackling challenges with new ways of thinking to enable success across fields like gaming, compute platforms, and AI.

What makes a candidate stand out for this position?

Candidates stand out with knowledge of Design for Test (DFT) including fault models, ATPG, and fault simulation, as well as familiarity with creating scalable, containerized development environments like Docker.

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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