Senior Software Engineer - Design-For-Test at NVIDIA

Santa Clara, California, United States

Apply Now

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

Key technologies and capabilities for this role

C++Scripting LanguagesGraph TraversalGraph AnalysisLLMsGraph-based MLReinforcement LearningGenAILLM FrameworksMulti-agent Applications

Questions & Answers

Common questions about this position

What is the salary for this Senior Software Engineer position?

This information is not specified in the job description.

Is this a remote position or is there a required location?

This information is not specified in the job description.

What skills are required for this role?

Required skills include 5+ years of software development experience, expertise in GenAI using LLM frameworks and multi-agent applications, evaluation systems like RAGAs and observability platforms like Arize Phoenix, understanding of agent architectures, RAG systems, reinforcement learning algorithms like PPO or SAC, and hands-on experience with large-scale training and data processing.

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

NVIDIA fosters a culture that encourages innovation, fuels creativity, and owes its success to some of the brightest people in the world. The team prides itself 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 proven deployment of large-scale agentic applications, experience in software/hardware for DFT, failure analysis, CAD tools, working with agentic models, observability tools, in-depth LLM knowledge, fine-tuning LLMs, multi-agent systems, RAG pipelines, and vector databases.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free