[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 dedicated to visual and AI computing, having pioneered GPU technology for complex computing problems. They are seeking an Applied Machine Learning Engineer to work on AI-driven software systems for circuit design, focusing on automation algorithms and deep learning models to enhance design automation processes.ResponsibilitiesWork 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 automationWork on applications ranging from silicon data analysis, manufacturing process variation analysis, VLSI circuit design, timing, and agent-driven design exploration and agent flow optimizationTranslate requirements into data science, AI/ML, and agentic system problems; architect and build solutionsTest and release models and AI systems that integrate with existing machine learning, design automation, and visualization tools within the organizationAnalyze datasets, raise and validate hypotheses, extract relevant features, and build models and self-improving workflows on top of themOptimize models, algorithms, and autonomous optimization systems until they reach the desired QORSkillsMaster'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 requiredPrior 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 workflowsResearch or project experience in AI-driven EDA, circuit optimization, design-space exploration, or autonomous design systemsExperience building agentic systems, autonomous optimization loops, self-improving AI systems, or production-scale AI/ML platformsExperience with deep learning algorithms, AI agent frameworks, and tools such as PyTorch, LangChain, or LangGraph is a definite plusBenefitsYou will also be eligible for equity and benefits.Company OverviewNVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is https://www.nvidia.com.Company H1B SponsorshipNVIDIA has a track record of offering H1B sponsorships, with 448 in 2026, 1872 in 2025, 1354 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.