Senior Software Engineer - Design-For-Test at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, Artificial Intelligence, GamingIndustries

Requirements

Excellent communication skills
BS (MS or higher degree preferred) in EE or CS (or equivalent experience)
5+ years of experience in Software development
Experience with GenAI application development using LLM frameworks and multi agent applications
Expertise in evaluation systems (such as RAGAs), and observability platforms (such as Arize Phoenix)
Understanding of different agent architectures, RAG systems, and communication protocols
Deep familiarity with reinforcement learning algorithms like PPO, SAC, or Q-learning, including experience tuning hyperparameters and reward functions
Hands on experience with large scale training (e.g., ZeRO) and data processing (e.g. Spark)

Responsibilities

Develop software in modern C++ and various scripting languages to enable design and development of software enabling efficient test pattern generation, application of these patterns on Silicon, failure analysis, and yield learning
Create efficient parallel graph traversal and graph analysis techniques
Work with multi-functional teams to assess and tackle problems that involve multiple areas of expertise through the company
Apply LLMs, graph-based ML approaches, and reinforcement learning to define innovative solutions

Skills

C++

Scripting Languages

Graph Traversal

Graph Analysis

LLMs

Graph-based ML

Reinforcement Learning

GenAI

LLM Frameworks

Multi-agent Applications

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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