招聘

Senior Software Engineer, Computer Vision - Autonomous Vehicles
US, CA, Santa Clara
·
On-site
·
Full-time
·
1mo ago
必备技能
Python
Machine Learning
We are looking for a Senior Software Engineer for our Autonomous Vehicle organization.
The team combines state-of-the-art Machine Learning and Computer Vision techniques to run offline perception tasks.
We seek the best engineers who are passionate about solving problems for self-driving cars and have a strong background in software development.
We build platforms, web services, and tools to ingest terabytes of sensor data through a complex pipeline, using advanced deep learning models and mathematical algorithms to produce the highest-quality detection features for self-driving cars.
Are you interested in building future technologies to serve millions of self-driving cars across the globe?
If so, join us!What You'll Be Doing:Advance Deep Learning components for both training and inference stages Developing tools to generate and handle big training datasets for different Deep Learning models Developing computer vision algorithms for Deep Learning data preprocessing and post-processing Integrating Deep Learning algorithms into realistic large-scale offline perception pipelines Collaborating with other engineering teams within NVIDIAWhat We Need To See:A deep understanding of and experience applying modern Machine Learning techniques to real-world applicationsMS/PhD Computer science or related areas (or equivalent experience)8+ years of industry experience Strong mathematical foundation, such as Geometry, Linear Algebra, and Numerical Analysis Proficient in C++ and Python, with ability to write clean maintainable code.A self-motivated, collaborative and problem-solving mindset Strive to learn, solve, and own hard problems end to end Ability to work with multiple teams Ways To Stand Out From
The Crowd:
Previous experience with HD map generation.
Strive to learn, solve, and own hard problems end to end.
Good communication and analytical skills.
Great team player but an independent self starter Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
The base salary range is 184,000 USD - 287,500 USD for
Level: 4, and 224,000 USD - 356,500 USD for
Level: 5.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
4.1
10条评价
工作生活平衡
3.5
薪酬
4.2
企业文化
4.3
职业发展
4.5
管理层
4.0
75%
推荐给朋友
优点
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
缺点
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
薪资范围
73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
7次面试
难度
3.1
/ 5
体验
正面 0%
中性 86%
负面 14%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
常见问题
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
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 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.
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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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