採用
必須スキル
Python
Ruby
For two decades, we have pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning. This new model - where deep neural networks are trained to recognize patterns from massive amounts of data - has shown to be deeply effective at solving some of the most complex problems in everyday life.
NVIDIA runs a very large GitLab environment, supporting 10s of thousands of engineers and massive repositories across the globe. Our Software Configuration Management (SCM) Tools and Infrastructure group is looking for a top SCM architect. You will tackle the challenges that we face with operating at scale to produce a best-in-industry solution and enable us to continue to provide unprecedented performance and reliability for our users. You will take on the challenges that come with operating and scaling our ever-growing GitLab deployment. In this role, you will design and code processes and automation tools to improve productivity managing and administering the SCM systems and applications used by our globally distributed engineering teams.
What you'll be doing:
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Responsible for the full SCM environment including application, OS, and server hardware components, developing the continued automation and innovation needed for our large environment
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Create new solutions to improve the reliability and performance of our ever-growing infrastructure, and work with automated orchestration tools to deploy those improvements to hundreds of systems worldwide
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Be part of a global team and will evaluate technology alternatives, work closely with other project members to specify solutions, craft schedules, and lead ongoing enhancements and support
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Lead or contribute to GitLab upgrades and migrations, architectural reviews and design docs, root cause analysis and systemic fixes
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Learn and greatly improve the daily productivity of the world’s top chip designers and software engineers
What we need to see:
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MS (preferred) or BS in Computer Science (or equivalent experience) or a related field with at least 5+ years of experience
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Deep understanding of SCM processes and large-scale, multi-site GitLab environments (experience with other SCM tools such as Perforce, Subversion, or Clear Case is a plus).
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You've configured/deployed Continuous Integration (CI) and Continuous Deployment (CD) systems in your past experience
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Excellent interpreted language skills highly desired – Object Oriented Perl or Python preferred, and Strong software engineering process skills required
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Strong skills in scripting and object-oriented languages such as Python or Ruby, with solid software engineering practices and familiarity with design patterns.
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Hands-on experience with relational databases (PostgreSQL preferred)
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Experience with DevOps or system administration on Linux systems required (Rocky Linux 8, CentOS/RHEL, and Ubuntu preferred)
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Strong experience with automation required, Ansible or Puppet preferred and Excellent interpersonal skills, including written and verbal communication
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You are comfortable and enjoy working with dynamic and ever evolving environments
Ways to stand out from the crowd:
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Meticulous and proactive problem-solver with a positive, can-do attitude.
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Demonstrate use of out-of-box thinking for creative solutions to highly sticky problems
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Fun and enthusiastic teammate who enjoys a challenge and celebrates success
With competitive salaries and a generous benefits package, NVIDIA is widely considered one of the technology world’s most desirable employers. Our team comprises some of the most forward-thinking and hardworking individuals in the industry. Due to unprecedented growth, our exclusive engineering teams are rapidly expanding. If you're a creative engineer with a real passion for technology, we want to hear from you.
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NVIDIAについて

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
従業員数
Santa Clara
本社所在地
$4.57T
企業価値
レビュー
4.1
10件のレビュー
ワークライフバランス
3.5
報酬
4.2
企業文化
4.3
キャリア
4.5
経営陣
4.0
75%
友人に勧める
良い点
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
改善点
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
給与レンジ
73件のデータ
Junior/L3
Mid/L4
Junior/L3 · Analyst
7件のレポート
$170,275
年収総額
基本給
$130,981
ストック
-
ボーナス
-
$155,480
$234,166
面接体験
7件の面接
難易度
3.1
/ 5
体験
ポジティブ 0%
普通 86%
ネガティブ 14%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
よくある質問
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
ニュース&話題
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