Senior Systems Software Engineer, Machine Learning

NVIDIA

Deep Learning Engineer at NVIDIA working on generative AI and machine learning workflows. Collaborating to convert research into products, enhancing datasets, and implementing LLM/VLMs.

Posted 5/26/2026full-timeSanta Clara • California, North Carolina • 🇺🇸 United StatesSenior💰 $152,000 - $287,500 per yearWebsite

Tech Stack

Tools & technologies

LinuxPythonUnix

About the role

Key responsibilities & impact

Convert research into real products (not just slide decks or notebooks)
Help build workflows that diversify datasets and/or populate data
Ship machine learning workflows/pipelines fast and iterate faster
Leverage LLM/VLM and agents in the data generation pipeline
Define evaluation criteria and run offline evals before any model or prompt change reaches production

Requirements

What you’ll need

Masters degree, or preferably a PhD degree in Computer Science or a related field or equivalent experience
5+ years of experience
Solid mathematical and algorithmic foundation and proven expertise demonstrated through research publications, internships, or significant project experience.
Strong background in computer vision and deep learning.
Excellent programming skills in Python and C/C++.
Excellent software engineering fundamentals.
Ability to develop code in Unix/Linux environments.
Excellent written, visual, and verbal communication skills to present performance challenges, tradeoffs, and architectural alternatives.
Strong collaboration skills to partner with other teams.

Benefits

Comp & perks

equity
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Hard Skills & Tools

machine learningcomputer visiondeep learningPythonC/C++software engineeringUnixLinuxalgorithmic foundationdata generation

Soft Skills

written communicationvisual communicationverbal communicationcollaborationpresentation skills

Certifications

Masters degreePhD degree