[Remote] Applied Machine Learning Engineer, Circuit Design - New College Grad 2026

Note: The job is a remote job and is open to candidates in USA. NVIDIA is a leader in visual and AI computing, seeking to expand its team with innovative minds. The Applied Machine Learning Engineer will work on developing AI-driven software systems for circuit design, focusing on automation algorithms and deep learning models to enhance design processes.


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
  • Work on applications ranging from silicon data analysis, manufacturing process variation analysis, VLSI circuit design, timing, and agent-driven design exploration and agent flow optimization
  • 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 QOR

Skills

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

Benefits

  • Equity
  • Benefits

Company Overview

  • NVIDIA designs graphics processing units and accelerated computing hardware for AI and high-performance computing applications. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is

    • Company H1B Sponsorship

  • NVIDIA has a track record of offering H1B sponsorships, with 1247 in 2026, 1868 in 2025, 1353 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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