[Remote] Applied Machine Learning Engineer, Circuit Design - New College Grad 2026, 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, known for its pioneering work with GPUs that simulate human intelligence. They are seeking an Applied Machine Learning Engineer to work on circuit design projects, translating requirements into data science problems and optimizing machine learning models.
Responsibilities
• Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon custom circuit design and related data, Circuit/Layout Optimization and Spice correlation
• Work on projects with applications ranging from analysis of silicon data, manufacturing process variation analysis, VLSI circuit design and timing etc
• Responsible for translating the requirements into a data science problem, architect and build solutions
• In charge for testing and release of models that integrate with existing machine learning and visualization tools within the organization
• Responsible for analyzing the datasets, raise and validate hypotheses, extract relevant features and build models on top of them
• Optimize the models and algorithms until they reach the desired QOR
Skills
• MS or PhD in Electrical/Computer Engineering (or equivalent experience)
• Experience with VLSI, Circuit Design, CMOS Device Physics, Timing, ASIC, EDA is a strict requirement for this role
• Shown ability in writing code in Python and C++
• Experience in Applied Math/ML/Software programming
• Experience with ML/DL algorithms with frameworks such as TensorFlow, PyTorch, Spark is a plus
• Working with multiple levels and teams across organizations (engineering/research, product, sales and marketing teams)
• Prior experience in CMOS layout drawing, including schematic-to-layout translation and DRC/LVS compliance, is a definite plus
• Effective verbal/written communication, and technical presentation skills
• Proven continuous learning and sharing findings across the team
Benefits
• Equity
• Benefits
Company Overview
• NVIDIA 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 Sponsorship
• NVIDIA has a track record of offering H1B sponsorships, with 1877 in 2025, 1355 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.
Apply Now
Apply Now
Responsibilities
• Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon custom circuit design and related data, Circuit/Layout Optimization and Spice correlation
• Work on projects with applications ranging from analysis of silicon data, manufacturing process variation analysis, VLSI circuit design and timing etc
• Responsible for translating the requirements into a data science problem, architect and build solutions
• In charge for testing and release of models that integrate with existing machine learning and visualization tools within the organization
• Responsible for analyzing the datasets, raise and validate hypotheses, extract relevant features and build models on top of them
• Optimize the models and algorithms until they reach the desired QOR
Skills
• MS or PhD in Electrical/Computer Engineering (or equivalent experience)
• Experience with VLSI, Circuit Design, CMOS Device Physics, Timing, ASIC, EDA is a strict requirement for this role
• Shown ability in writing code in Python and C++
• Experience in Applied Math/ML/Software programming
• Experience with ML/DL algorithms with frameworks such as TensorFlow, PyTorch, Spark is a plus
• Working with multiple levels and teams across organizations (engineering/research, product, sales and marketing teams)
• Prior experience in CMOS layout drawing, including schematic-to-layout translation and DRC/LVS compliance, is a definite plus
• Effective verbal/written communication, and technical presentation skills
• Proven continuous learning and sharing findings across the team
Benefits
• Equity
• Benefits
Company Overview
• NVIDIA 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 Sponsorship
• NVIDIA has a track record of offering H1B sponsorships, with 1877 in 2025, 1355 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.
Apply Now
Apply Now