招聘
必备技能
Python
Docker
Git
NVIDIA is seeking a highly motivated Senior Infrastructure & Automation Engineer to join the Networking Business Unit. In this role, you will design, develop, and enhance automation tools and infrastructure that improve the efficiency and stability of NVIDIA’s Firmware development and verification processes. You will work closely with Firmware, Emulation, and Release teams to ensure smooth integration, reliable regression execution, and rapid issue identification — playing a key role in maintaining the quality and velocity of NVIDIA’s cutting-edge networking products.
What you’ll be doing:
-
Develop and maintain automation tools and infrastructure supporting Firmware verification, compilation, and emulation workflows.
-
Monitor and maintain the stability of the Firmware regression cycles; identify, analyze, and resolve infrastructure and automation issues.
-
Implement process improvements to accelerate development and increase verification efficiency.
-
Generate reports and insights on regression results and quality trends; identify degradations between Firmware versions.
-
Collaborate with Firmware and Release teams to ensure high-quality delivery and smooth handoffs between verification and release stages.
-
Take ownership of the regression automation environment, including CI flows, scripts, and integration with build and release systems.
What we need to see:
-
B.Sc. in Computer Engineering, Computer Science, or equivalent experience.
-
8+ years of experience in Automation, DevOps, or Firmware Infrastructure development.
-
Strong programming skills in Python (preferred) or C++, with a solid understanding of OOP principles.
-
Proven experience with build systems, emulation environments, or CI pipelines.
-
Ability to thrive in a dynamic, fast-paced environment while maintaining attention to detail and quality.
-
Strong analytical, communication, and problem-solving skills.
-
Fluent in English (Hebrew – advantage).
Ways to stand out from the crowd:
-
Hands-on experience with Git, Gerrit, Jenkins, Docker, and Blossom.
-
Familiarity with regression frameworks, testing flows, and CI/CD best practices; Proactive, creative, and highly collaborative mindset with strong ownership of infrastructure quality.
-
Demonstrated ability to lead technical initiatives, define infrastructure roadmaps, and drive cross-team improvements.
-
Experience planning and prioritizing infrastructure work in collaboration with development and verification teams.
-
Background in firmware or embedded systems verification.
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

Software Engineer Intern (Recommendation Infrastructure) - 2026 Start (PhD)
TikTok · San Jose, CA

Staff Software Engineer, Infrastructure, Storage
Google · placeSunnyvale, CA, USA

Senior Staff Software Engineer, Developer Infrastructure
Stripe · SEA, SF

Senior Engineer - Databricks
Shell · Bangalore RMZ-ECO WORLD

Software Engineer III, Google Cloud Compute Infrastructure
Google ·
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