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NVIDIA

Designs the chips and software that power AI

Applied AI Engineer - VLSI Design

AI Application EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A Master's or PhD degree in Electrical Engineering, Computer Science/Engineering, or equivalent experience.
  • At least five years of proven industry experience in a related field.
  • Proficiency in rapid prototyping using Python, with strong foundational knowledge of data structures, algorithms, and software engineering principles.
  • Experience fine-tuning large language models, building advanced multi-agent systems, retrieval-augmented generation pipelines, and vector databases.
  • Strong analytical, communication, and interpersonal skills, with the ability to work effectively in dynamic, product-focused, and distributed teams.
  • A proactive approach to problem-solving and willingness to acquire new skills and knowledge as needed.

Responsibilities

  • Design, develop, and deploy AI applications using large language models, internal and external agentic frameworks, and related technologies.
  • Design and build infrastructure to deploy large-language-model-powered solutions for engineering assistants and multi-turn, multimodal dialogue systems.
  • Develop agentic AI solutions for complex VLSI engineering problems, fine-tune and integrate them with computer-aided design flow systems, and use AI technologies to improve chip-design efficiency.
  • Build and maintain design databases and dashboards, potentially using agentic and deterministic retrieval mechanisms to retrieve relevant engineering data and expedite circuit design closure.
  • Collaborate with circuit design, layout, technology, and third-party electronic design automation vendor teams distributed across geographies and time zones.

Desired Qualifications

  • Experience with large language models and their applications in software and AI development.
  • Proficiency in software development methodologies, including version control, testing, and continuous integration and continuous delivery.
  • Prior experience with circuit design or hardware design.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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