招聘
必备技能
Perl
Python
Makefile
Shell scripting
Problem-Solving
Build automation
NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world!
We are looking for a Senior Engineer for our Build and Release Methodology Group catering to our pioneering SOCs. As the SOC development becomes more complex requiring packing of more and more IPs and the need for doing more SOCs increase, we need to have a scalable infrastructure to be able to complete SOC development in fastest as well as most efficient way possible. This requires an SOC Build and IP Release infrastructure that caters to and keeps up with these ever-increasing complexities. In this position, you will work first-hand on architecting and developing this methodology. If you have real passion for methodologies and automation solutions, you will fit in great!
What you'll be doing:
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Define and develop system-level methodologies and tools to build SOCs in an efficient and scalable manner.
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Architect and implement core build flows so as to optimize build and make it simpler and efficient.
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Improve build, release, and integration tools and procedures.
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Identify and develop Checks to enforce the best practices for the Build and Release guidelines.
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Develop solutions to enable abstraction and compartmentalization for customer IPs.
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Identify difficulties and inefficiencies in the SOC implementation process and propose ideas to solve them.
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Support IP teams with Build and Release related issues.
What we need to see:
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BS or MS in Electrical Engineering, Computer Engineering, or Computer Science, or equivalent experience.
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4+ years of industry experience as Build and Release Engineer, Build Automation, IP integration and related areas.
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Strong coding skills in Perl, Python, Makefile, Shell script, or other industry-standard scripting languages.
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Excellent analytical and problem-solving skills.
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Excellent interpersonal skills to work with multi-functional teams and collaborate with team members across sites and cultures to build consensus.
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Background in RTL (Verilog), Verification (UVM, System Verilog) and C/C++ is a plus
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Not must.
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Experience in synthesis and physical design is a plus
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Not must.
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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
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.
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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.
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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.
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·
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.
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NaNw ago