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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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NVIDIA 소개

NVIDIA

NVIDIA

Public

A computing platform company operating at the intersection of graphics, HPC, and AI.

10,001+

직원 수

Santa Clara

본사 위치

$4.57T

기업 가치

리뷰

4.1

10개 리뷰

워라밸

3.5

보상

4.2

문화

4.3

커리어

4.5

경영진

4.0

75%

친구에게 추천

장점

Great culture and supportive environment

Smart colleagues and excellent people

Cutting-edge technology and learning opportunities

단점

Team-dependent experience and outcomes

Work-life balance issues with long hours

Politics and influence over competence

연봉 정보

73개 데이터

L3

L4

L5

L3 · Data Scientist IC2

0개 리포트

$177,542

총 연봉

기본급

-

주식

-

보너스

-

$150,910

$204,174

면접 경험

7개 면접

난이도

3.1

/ 5

경험

긍정 0%

보통 86%

부정 14%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

System Design Interview

6

Team Review

자주 나오는 질문

Coding/Algorithm

System Design

Technical Knowledge

Behavioral/STAR