Senior AI Systems Engineer, Chip Design

🕒 July 31

🏄 California, Texas – Remote

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💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

⚙️ Systems Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 23%

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Logo of NVIDIA

NVIDIA

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Create and integrate AI agents to enhance the efficiency, productivity, and quality of VLSI design flows • Collaborate on the design and implementation of algorithms and models that can optimize VLSI design processes • Contribute to the development of software tools and frameworks that support the integration of AI in VLSI design • Analyze and interpret data to identify patterns and insights that can inform the development of AI-driven design methodologies • Stay ahead of the latest advancements in machine learning, deep learning, and VLSI build to continuously improve solutions • Work closely with experts in VLSI design, machine learning, and software engineering

🎯 Requirements

• BS/MS/PhD in Computer Science, Electrical/Computer Engineering, or a related field (or equivalent experience) • 6+ years of experience building AI-driven software systems, ideally applied to complex engineering workflows • Strong programming skills in Python, with experience developing production-quality systems • Demonstrated experience designing and applying AI agents or learning-based decision systems (e.g., RL, planning, LLM-based agents) to optimize processes • Proficiency with modern ML frameworks (PyTorch, TensorFlow) and data-driven model development • Strong problem-solving and collaboration skills, with the ability to translate complex design challenges into agent-driven solutions • Experience with Large Language Models (LLMs) and their applications in software and AI development • Proficiency in standard methodologies for software development, including version control, testing, and CI/CD

🏖️ Benefits

• Competitive salaries • Generous benefits package • Equity

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