Senior Applied Machine Learning Engineer - VLSI Design

About the role

NVIDIA is seeking a skilled individual to join our dynamic team. This position involves working on cutting-edge AI-driven software systems for circuit design, integrating automation algorithms, deep learning models, and agent-driven workflows to enhance end-to-end design automation.

Responsibilities

• Work within a multi-functional team on projects involving pre-silicon and post-silicon hardware design data, circuit optimization, SPICE correlation, and AI systems for EDA/design automation.
• Translate requirements into data science, AI/ML, and agentic system problems; architect and build solutions.
• Test and release models and AI systems that integrate with existing machine learning, design automation, and visualization tools within the organization.
• Analyze datasets, raise and validate hypotheses, extract relevant features, and build models and self-improving workflows on top of them.
• Optimize models, algorithms, and autonomous optimization systems until they reach the desired Quality of Results (QOR).

Requirements

• MS/PhD in Electrical/Computer Engineering, Computer Science, Applied Mathematics, or equivalent experience.
• 4+ years experience in circuit design, VLSI, ASIC, EDA, silicon analysis, or custom circuit design.
• Prior experience in Applied Math/ML/Software programming with proven ability in writing code in Python and C++.
• Experience with deep learning algorithms, AI agent frameworks, and tools such as PyTorch, LangChain, or LangGraph is a definite plus.

Qualifications

• Experience building AI systems for EDA, design automation, or circuit design workflows.
• Research or project experience in AI-driven EDA, circuit optimization, design-space exploration, or autonomous design systems.
• Experience building agentic systems, autonomous optimization loops, self-improving AI systems, or production-scale AI/ML platforms.
• Effective verbal/written communication and technical presentation skills.
• Self-starter with passion for growth, continuous learning, and sharing findings across the team.

Skills

• Strong background in electrical engineering, computer science, or related fields.
• Proficiency in Python and C++.
• Experience with deep learning frameworks like PyTorch.
• Knowledge of AI agent frameworks and tools.
• Experience with EDA and design automation tools.

Benefits

NVIDIA offers competitive compensation packages including base salary ranging from $152,000 to $230,000 for Level 3 and $168,000 to $264,500 for Level 4, along with equity and comprehensive benefits.

Pay

The base salary range for this position is $152,000 - $230,000 for Level 3 and $168,000 - $264,500 for Level 4.

Schedule

This position offers a flexible schedule to accommodate the needs of the candidate and the company.

Benefits

• Comprehensive health insurance plans.
• Retirement savings plan with company match.
• Flexible spending accounts.
• Employee assistance programs.
• Professional development opportunities.

Contact Information

To apply, please visit our careers page at [Insert Application Link Here].