招聘
Required Skills
C
PyTorch
Machine Learning
Deep Learning
Computer Vision
Autonomous Driving
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement?
We are now hiring software engineers for our China TSE Deep Learning team, with a strong preference for those who can join as soon as possible.
Join our China TSE Deep Learning solution team and help build the cutting-edge, high-performance deep learning solutions driving our success in this exciting and quickly growing field.
What you'll be doing:
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Work on research, design and implementation of software features that are beneficial to our customers to meet their performance targets and build unique values
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Autonomous driving perception SW stack for improvement and issue fixes.
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Autonomous driving perception DNN improvement/eval/KPI for DNNs.
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Autonomous driving perception issue triage and root causing.
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Develop solutions for DNN model acceleration, optimization and deployment.
What we need to see:
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Subject to arrangement to different works at any time to take on different tasks and challenges
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Self-motivated attitude and motivation to make things success, intent to learn
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BS/MS degree in Computer Science/EE or related
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Proven fundamentals in c/pytorch programming and SW design and debug skills
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Abundant knowledge of ML/DL techniques for Computer Vision and autonomous driving
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Knowledge and experiences for perception stack for Autonomous driving, for example camera/radar/ultrasonic/parking/wait condition perception/multiple sensor fusion/...
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Believe that experimenting is the only way to find the truth, not argument
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At least 3 years in DNN area
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Located in Shanghai/Shenzhen or willing to work in Shanghai/Shenzhen
Ways to stand out from the crowd:
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DNN development and network acceleration is highly desired
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Familiarity with GPU computing/NVIDIA CUDA/NVIDIA TensorRT
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you!
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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About NVIDIA

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
Employees
Santa Clara
Headquarters
$4.57T
Valuation
Reviews
4.1
10 reviews
Work Life Balance
3.5
Compensation
4.2
Culture
4.3
Career
4.5
Management
4.0
75%
Recommend to a Friend
Pros
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
Cons
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
Salary Ranges
47 data points
Junior/L3
Mid/L4
Junior/L3 · Analyst
7 reports
$170,275
total / year
Base
$130,981
Stock
-
Bonus
-
$155,480
$234,166
Interview Experience
7 interviews
Difficulty
3.1
/ 5
Experience
Positive 0%
Neutral 86%
Negative 14%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
Common Questions
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
News & Buzz
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.
News
·
NaNw ago
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.
News
·
NaNw ago
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.
News
·
NaNw ago
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.
News
·
NaNw ago