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求人NVIDIA

Senior Life Cycle Engineer, PyTorch - Deep Learning

NVIDIA

Senior Life Cycle Engineer, PyTorch - Deep Learning

NVIDIA

US

·

On-site

·

Full-time

·

3d ago

Are you passionate about building software for large-scale distributed projects? NVIDIA's Deep Learning Frameworks Teams seek Senior Software Engineers to create systems for continuous integration, testing, and delivery of advanced software stacks. Join a diverse, ambitious team focused on improving developer productivity for NVIDIA's AI software ecosystem. We ensure that key deep learning frameworks run optimally on NVIDIA hardware, enabling developers and researchers to push the boundaries of what's possible in AI.

What you'll be doing:

Join a team of experts working together to improve developer productivity for the NVIDIA driven software ecosystem. Develop and maintain continuous development systems through various software verticals spanning from end-users, through layers of open-source software, down to NVIDIA's math libraries, compilers, and drivers. This is a true software engineering role. The team creates tools and infrastructure, debugs issues as they arise, and fixes problems across the entire stack. Together, we stabilize and deliver the entire NVIDIA software stack to the world at global scale. This is a development-focused role that drives software quality and reliability without on-call duties.

What we need to see:

  • MS or PhD in Computer Science or Engineering (or equivalent experience)

  • 5+ years of experience building or supporting large software projects or equivalent

  • Proficiency in C++ and/or Python

  • Proven expertise with scripting languages

  • Experience in continuous build and release management for Linux systems

  • Development of cloud-hosted developer environments and CI/CD systems

Ways to stand out from the crowd:

  • Software development experience with many contributing teams

  • Proven experience shipping multi-cloud large-scale systems and supporting those systems in production

  • Experience with C++ build systems, including dependency issues, symbol resolution, and linking problems

  • Great people skills, including communication, empathy, dependability, patience, and persistence

  • Drive to contribute to and work with globally distributed teams

Join us at NVIDIA, where we are defining the next era of computing and making a lasting impact on the world!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 20, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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スクラップ

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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

L3

L4

L5

L3 · Data Scientist IC2

0件のレポート

$177,542

年収総額

基本給

-

ストック

-

ボーナス

-

$150,910

$204,174

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