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求人NVIDIA

Senior Build and Release Methodology Engineer

NVIDIA

Senior Build and Release Methodology Engineer

NVIDIA

India, Bengaluru

·

On-site

·

Full-time

·

1mo ago

必須スキル

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:

  • Define and develop system-level methodologies and tools to build SOCs in an efficient and scalable manner.

  • Architect and implement core build flows so as to optimize build and make it simpler and efficient.

  • Improve build, release, and integration tools and procedures.

  • Identify and develop Checks to enforce the best practices for the Build and Release guidelines.

  • Develop solutions to enable abstraction and compartmentalization for customer IPs.

  • Identify difficulties and inefficiencies in the SOC implementation process and propose ideas to solve them.

  • Support IP teams with Build and Release related issues.

What we need to see:

  • BS or MS in Electrical Engineering, Computer Engineering, or Computer Science, or equivalent experience.

  • 4+ years of industry experience as Build and Release Engineer, Build Automation, IP integration and related areas.

  • Strong coding skills in Perl, Python, Makefile, Shell script, or other industry-standard scripting languages.

  • Excellent analytical and problem-solving skills.

  • Excellent interpersonal skills to work with multi-functional teams and collaborate with team members across sites and cultures to build consensus.

  • Background in RTL (Verilog), Verification (UVM, System Verilog) and C/C++ is a plus

  • Not must.

  • Experience in synthesis and physical design is a plus

  • Not must.

総閲覧数

1

応募クリック数

0

模擬応募者数

0

スクラップ

0

NVIDIAについて

NVIDIA

NVIDIA

Public

A 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