Applied Machine Learning Engineer, Circuit Design - New College Grad 2025

at Nvidia
📍 Santa Clara, United States
USD 108,000-212,800 per year
JUNIOR MIDDLE
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Marketing @ 3 Python @ 3 Spark @ 3 Algorithms @ 6 Machine Learning @ 3 Data Science @ 3 TensorFlow @ 3 Communication @ 3 PyTorch @ 3 Compliance @ 3 GPU @ 3

Details

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!

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.
  • Translate requirements into a data science problem; architect and build solutions.
  • Test and release models that integrate with existing machine learning and visualization tools within the organization.
  • Analyze datasets, raise and validate hypotheses, extract relevant features and build models.
  • Optimize models and algorithms until they reach the desired quality of results (QOR).

Requirements

  • MS or PhD in Electrical/Computer Engineering (or equivalent experience).
  • Experience with VLSI, circuit design, CMOS device physics, timing, ASIC, and EDA is a strict requirement for this role.
  • Demonstrated ability to write code in Python and C++.
  • Experience in applied math, machine learning, and software programming.

Ways to stand out from the crowd (additional desirable skills):

  • Experience with ML/DL algorithms and frameworks such as TensorFlow, PyTorch, Spark.
  • Prior experience in CMOS layout drawing, including schematic-to-layout translation and DRC/LVS compliance.
  • Experience working across multiple levels and teams (engineering/research, product, sales and marketing).
  • Effective verbal/written communication and technical presentation skills.
  • Proven continuous learning and sharing findings across the team.

Benefits

  • Base salary range provided by level: $108,000 - $184,000 USD for Level 2; $136,000 - $212,750 USD for Level 3.
  • You will also be eligible for equity and benefits (see NVIDIA benefits page).
  • NVIDIA is an equal opportunity employer committed to diversity and inclusion.

Applications for this job will be accepted at least until October 12, 2025.