招聘
必备技能
Python
Docker
Git
Linux
Jira
Machine Learning
We are looking for a world-class System Software Automation engineer to join the Build & Release DRIVE OS team.
NVIDIA DRIVE™ OS is a foundational software stack consisting of an embedded Real Time OS (RTOS), hypervisor, NVIDIA® CUDA® libraries, NVIDIA Tensor RT™, and other modules that give you access to the hardware engines. DRIVE OS offers a safe and secure execution environment for applications such as secure boot, security services, firewall, and over-the-air updates. You will be a part of a team streamlining the development, build, and releases with modern DevOps tools.
What you'll be doing:
-
Automating and optimizing build, test, integration, and release processes for publicly distributed libraries.
-
Configuring, maintaining, and building upon deployments of industry-standard tools (e.g. Gitlab, Jenkins, Docker, CMake, Jira).
-
Developing shared utilities for setting up systems, running tests, and recording results.
-
Contributing to best-practices for building, testing, and releasing software.
-
Identifying infrastructure needs and translating them into action.
What we need to see:
-
BS or higher degree or equivalent experience in computer science.
-
5+ years of meaningful experience.
-
Strong interests towards groundbreaking technologies and ability to take initiatives and drive them across multiple functional teams.
-
Proven experience setting up, maintaining, and automating continuous integration systems.
-
Proficiency in SCM (e.g. Perforce, Git) and build systems (e.g. make, cmake, bazel).
-
Adept programming skills in Python (or similar).
-
Passion for “it just works” automation and enabling team members.
Ways to stand out from the crowd:
-
Experience with mobile/embedded platforms and multiple operating systems (Linux, QNX, and Android).
-
Track record of identifying useful new technologies and incorporating them into SW development flows.
-
Experience as an active contributor to a SW project involving many developers.
-
Experience with software releases: codeline branching, integrations, maintenance, bug tracking.
NVIDIA is the leading artificial intelligence computing company and paving the way with innovations in self-driving cars, machine learning, supercomputing, gaming and visualization. NVIDIA gives automakers, research institutions, cloud providers, large companies and start-ups the power and flexibility to develop and deploy breakthrough artificial intelligence systems.
We are 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, autonomous and enjoy having fun, then what are you waiting for apply today!
总浏览量
0
申请点击数
0
模拟申请者数
0
收藏
0
相似职位
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
Junior/L3
Mid/L4
Junior/L3 · Analyst
7份报告
$170,275
年薪总额
基本工资
$130,981
股票
-
奖金
-
$155,480
$234,166
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.
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 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
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



