
Pioneering accelerated computing and AI
Senior Applied Machine Learning Engineer - VLSI Design
필수 스킬
Python
PyTorch
TensorFlow
Spark
Machine Learning
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
What you'll be doing:
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Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon hardware design and related data, Circuit Optimization and Spice correlation
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Work on projects with applications ranging from analysis of silicon data, manufacturing process variation analysis, VLSI circuit design and timing etc.
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Responsible for translating the requirements into a data science problem, architect and build solutions.
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Test and release of models that integrate with existing machine learning and visualization tools within the organization.
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Responsible for analyzing the datasets, raise and validate hypotheses, extract relevant features and build models on top of them.
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Optimize the models and algorithms until they reach the desired QOR.
What we need to see:
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MS/PhD in Electrical/Computer Engineering, Computer Science, Applied Mathematics (or equivalent experience)
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4+ years experience in circuit design, VLSI, ASIC, EDA, Silicon analysis is required
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Prior experience in Applied Math/ML/Software programming with proven ability in writing code in Python, C++
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Experience with ML/DL algorithms with frameworks such as Tensor Flow, Py Torch, Spark is a definite plus
Ways to stand out from the crowd:
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Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales and marketing teams)
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Effective verbal/written communication, and technical presentation skills
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Self-starter with passion for growth, real enthusiasm for continuous learning and sharing findings across the team
NVIDIA is a pioneer in bringing groundbreaking technology to new markets. We have some of the most forward-thinking and hardworking people in the world working with us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 230,000 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until March 23, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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NVIDIA 소개

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
직원 수
Santa Clara
본사 위치
$4.57T
기업 가치
리뷰
10개 리뷰
4.4
10개 리뷰
워라밸
2.8
보상
4.5
문화
4.2
커리어
4.3
경영진
3.8
78%
지인 추천률
장점
Cutting-edge technology and innovation
Excellent compensation and benefits
Great team culture and collaboration
단점
High pressure and expectations
Poor work-life balance and long hours
Fast-paced environment leading to burnout
연봉 정보
79개 데이터
L3
L4
L5
L3 · Data Scientist IC2
0개 리포트
$177,542
총 연봉
기본급
-
주식
-
보너스
-
$150,910
$204,174
면접 후기
후기 5개
난이도
3.0
/ 5
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
최근 소식
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
reddit/blind
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NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
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NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
reddit/blind
·
NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
reddit/blind
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