Principal Platform Architect, Agentic AI at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, Artificial IntelligenceIndustries

Requirements

Master's or PhD degree in Electrical Engineering, Computer Science/Engineering, or a related discipline (or equivalent experience)
15+ years of proven industry experience
Skilled at rapidly taking products from concept to launch and scaling them massively by performance tuning and optimizing complex, globally distributed systems
Familiarity with modern software development stacks and tools, including containerization, cloud or on-premises deployments, API integration and real-time processing frameworks
Strong proficiency in Python, JavaScript, CI/CD, Kubernetes, Message broker architectures, data pipelines, test driven development
Strong proficiency in agentic LLM Libraries/Technologies like LangChain, LangGraph, AutoGen, CrewAI, RAGs, vector databases, prompt engineering, Knowledge Graphs, etc
Hands-on experience developing large-scale web applications and REST APIs, & familiarity with SQL and NoSQL databases
A proactive approach to problem-solving and a willingness to acquire new skills and knowledge as needed to achieve results
Excellent plus if familiar with front-end development using React or Vue.js

Responsibilities

Play key role in design, development, and deployment of large-scale high-performance enterprise ready agent frameworks and tools
Collaborate with engineering and applied AI teams to understand specific needs and challenges of chip design and ensure our agent platform is well-suited to these needs
Develop and optimize retrieval and generation algorithms for enterprise data (text, code, and images) to build advanced AI applications
Collect & organize training / fine-tuning data and help build domain specific large language models
Optimize infrastructure for performance, scalability, and reliability, and ensure secure and efficient management of data
Stay ahead by engaging with the latest advancements in machine learning and AI to create state-of-the-art solutions
Lead with purpose and maintain high-quality engineering practices that inspire others to achieve excellence

Skills

Agent Frameworks

Retrieval Algorithms

Generation Algorithms

Large Language Models

Fine-tuning

Machine Learning

Infrastructure Optimization

Scalability

Reliability

Chip Design

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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