You and the process

With a person
Anna, in-house recruiter
9 years hiring engineers
30 minutes with a real recruiter
They read your CV with you, on a call, and say where the offers are being lost.
Didn’t find what you were looking for? Tell us what to build
NVIDIA

Senior Deep Learning Frameworks Sustaining Engineer

  • Office
  • 6+ years

Salary

$152,000 - 241,500/ year

AI summary

For members

The whole posting in a few lines. Sign up to read it here and on every role you open.

Sign Up to Read

Description

The company builds software that supports deep learning across image classification, speech recognition and natural language processing. The team works directly with framework developers and integrates changes from open source code bases.

The role sits in the Deep Learning Frameworks Sustaining Engineering team, which keeps the company's enterprise products stable over time.

Responsibilities

  • Port changes from the mainline branch back to supported releases.
  • Track changes in open source dependencies and make sure the enterprise products use the latest stable versions.
  • Contribute code that supports timely Long Term Support releases of TensorFlow, PyTorch and TensorRT.
  • Fix bugs reported by customers and bring in bug fixes made in mainline.
  • Work with other teams to patch open source dependencies for security vulnerabilities, serving the company AI Enterprise subscribers.

Requirements

  • A Bachelor's degree in Computer Science, Deep Learning, Artificial Intelligence, Applied Math or a related field, or equivalent experience.
  • 5+ years of relevant software development experience.
  • Strong C/C++ programming and software design skills, including debugging and open source integration.
  • Experience with build and packaging tools such as Make, Docker, Bazel, Debian, pip and npm, and with build systems such as GitLab and CI/Jenkins.
  • Experience with machine learning algorithms and frameworks such as TensorFlow, PyTorch or MXNet.
  • Ability to work independently, keep releases stable and report status clearly and with attention to detail.
  • Python experience is helpful.

Conditions

Applications accepted at least until November 3, 2026.

This posting is for an existing vacancy.

The company uses AI tools in its recruiting process.

Base salary depends on location, experience and other objective job-related factors. Level 3 ranges from 152,000 USD to 241,500 USD; Level 4 ranges from 184,000 USD to 287,500 USD.

The company is an equal opportunity employer and does not discriminate on any basis protected by law.

Benefits

  • Work alongside creative, self-directed engineers, which the company describes as among the most desirable employers in technology.

Where you’d work

From the office

About the company

NVIDIA

Office in United States

Also hiring in United Kingdom, Seattle, United States, Munich, Germany and 15 more places

236 of their 656 open roles are remote

Your chances

We've checked whether it's still hiring and how crowded it is.

  • 21 checks run
  • 0 red flags

Still hiring?

14 checks

No red flags

How crowded?

7 checks

No red flags

Fits Me

How well does this role fit you?

Answer a few questions or drop your CV, and every role gets a fit score with the reasons, this one first.

  • Your field
  • Level
  • Stack
  • Work model
  • Salary floor
  • Must-haves
Details12 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • Docker
  • PyTorch
  • C++
  • CUDA
  • TensorFlow
  • NLP
Seniority
Senior
Type
Full-time
Equity
Equity offered
Specialty
ML
Region
United States
Show 6 more factsShow less

Role

Category
Data & Analytics
Specialty
ML
Seniority
Senior
Experience
5+ years
Tech stack
  • Python
  • Docker
  • PyTorch
  • C++
  • CUDA
  • TensorFlow
  • NLP

Location

Work model
Office
Region
United States
Office
  • United States

Compensation

Salary
$152,000 - 241,500 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

Something wrong with this vacancy?

Similar vacancies

Share this vacancy

What's wrong with it?

The employer never sees who reported.

Reason