招聘
必备技能
Machine Learning
We are looking for a passionate team member to contribute to our autonomous driving product!
The role involves applying deep learning and computer vision technologies to 3D/4D world modeling for autonomous vehicles without using lidars.
Our work is essential to employing the consumer fleet to produce simulation assets, maps, and ground truth labels.
You will have the opportunity to work with a diverse team of researchers and engineers in the field of 3D/4D reconstruction, mapping and simulation to deliver impact to our customers around the world!What you’ll be doing:Build innovative world reconstruction systems using large geometry models, perception models, Gaussian splatting algorithms, and generative world models.
Address user feedback and work to improve the reconstruction fidelity and simulation realism.
Create evaluation methods to measure the reconstruction quality and tools to visualize and debug issues.
Profile and optimize the performance of neural networks as well as end-to-end systems.
Collaborate with researchers and engineers across several organizations.
What we need to see:BS, MS, or PhD degree or equivalent experience in Engineering or Computer Science with a focus on Generative AI, Deep Learning, Computer Vision, Robotics, Computer Graphics, or a related field.5+ years experience in the related field Hands on experience with structure from motion, dense reconstruction, Gaussian splatting, object perception, image/video diffusion models, and/or generative world models.
Solid fundamentals in 3D computer vision and deep learning.
Ways to stand out from the crowd:Experience in autonomous driving: evidence of practical experiments and projects within the autonomous driving domain, showcasing your ability to apply machine learning algorithms to solve sophisticated problems in this field.
Published research: particularly around Gaussian splatting, image/video diffusion models, or generative world models demonstrating a deep understanding and contribution to the field.
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 - 241,500 USD for
Level: 3, and 184,000 USD - 287,500 USD for
Level: 4.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until March 5, 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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关于NVIDIA

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
员工数
Santa Clara
总部位置
$4.57T
企业估值
评价
4.4
10条评价
工作生活平衡
2.8
薪酬
4.2
企业文化
4.3
职业发展
4.1
管理层
3.8
78%
推荐给朋友
优点
Cutting-edge technology and innovation
Excellent compensation and benefits
Great team culture and collaboration
缺点
Work-life balance challenges
High pressure and stress
Long hours required
薪资范围
67个数据点
L3
L4
L5
L3 · Data Scientist IC2
0份报告
$177,542
年薪总额
基本工资
-
股票
-
奖金
-
$150,910
$204,174
面试经验
5次面试
难度
3.0
/ 5
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
新闻动态
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.
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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.
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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.
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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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