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职位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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关于NVIDIA

NVIDIA

NVIDIA

Public

A 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

L3

L4

L5

L3 · Data Scientist IC2

0份报告

$177,542

年薪总额

基本工资

-

股票

-

奖金

-

$150,910

$204,174

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