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

at Nvidia

📍 Santa Clara, United States

USD 116,000-218,500 per year

JUNIOR MIDDLE

✅ Hybrid

Used Tools & Technologies

Not specified

Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

Marketing @ 3 Python @ 3 Spark @ 1 Algorithms @ 6 Machine Learning @ 3 Data Science @ 3 TensorFlow @ 1 Communication @ 3 Mathematics @ 3 PyTorch @ 1 Compliance @ 1 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 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 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.
Ability to write code in Python and C++.
Experience in applied mathematics, machine learning, or software programming.

Preferred / Ways to stand out

Experience with ML/DL frameworks such as TensorFlow, PyTorch, and Spark is a plus.
Experience working with multiple levels and teams across organizations (engineering/research, product, sales and marketing).
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.

Compensation & Benefits

Base salary ranges by level: Level 2: 116,000 USD - 189,750 USD; Level 3: 136,000 USD - 218,500 USD.
You will also be eligible for equity and benefits (link provided in posting).

Additional Information

Location: Santa Clara, CA, United States (hybrid: #LI-Hybrid).
Applications accepted at least until January 27, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.