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

at Nvidia
USD 108,000-212,800 per year
JUNIOR
✅ 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 Mathematics @ 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 and the invention of the GPU. NVIDIA's GPU runs deep learning algorithms and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world.

Responsibilities

  • Work within a multi-functional team on 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 engineering requirements into data science problems; 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 on top of them.
  • 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 mathematics, machine learning, and software programming.

Nice to have / Ways to stand out

  • Experience with ML/DL algorithms and frameworks such as TensorFlow, PyTorch, and 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.

Compensation & Benefits

  • Base salary ranges provided by level:
    • Level 2: 108,000 USD - 184,000 USD
    • Level 3: 136,000 USD - 212,750 USD
  • Eligible for equity and company benefits (link to NVIDIA benefits referenced in original posting).

Other details

  • Location: Santa Clara, CA, United States.
  • Employment type: Full time.
  • Applications will be accepted at least until October 12, 2025.
  • NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment.