NVIDIA
Technology
SeniorSystemsSoftwareEngineer,MachineLearning
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Systems Software Engineer, Machine Learning at NVIDIA. Skills: Generative AI, LLMs/VLMs, Computer vision, Deep Learning. Convert research into real products. Build workflows to diversify datasets”
What You'll Achieve.
Ship machine learning workflows/pipelines fast; Iterate faster
Industry & Context.
Algorithmic foundation
What They're Looking For.
Must Have
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, 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, collaboration skills
Nice to Have
Experience designing and operating multi-agent pipelines in production, Shipped a product feature backed by a VLM, Shipped AI-powered features to real users
What You'll Do.
Convert research into real products
Build workflows to diversify datasets
Ship machine learning workflows/pipelines
Leverage LLM/VLM and agents
Define evaluation criteria
How You'll Work.
Team & Collaboration
Partner with other teams; Work with people who know when to debate and when to just run the experiment
Communication Scope
Excellent written, visual, and verbal communication skills; Present performance challenges; Present tradeoffs; Present architectural alternatives
Full Job Description
NVIDIA has been transforming computer graphics, PC gaming, accelerated computing, and machine learning for more than 25 years. It’s a unique legacy of innovation fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing – an era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. We’re hiring a Deep Learning Engineer with strong experience in generative AI, LLMs/VLMs, computer vision, and agentic systems. If you’ve spent more time than you’d like to admit building workflows to populate data and/or diversify/expand your dataset, you’ll likely feel at home here. Bonus points if you’ve worked with 3D computer vision (extra bonus if you actually enjoyed it). The team is a balanced mix of engineers and scientists, and we care about both rigor and actually getting things out the door. The culture is collaborative, low-ego, and built around ownership. If you enjoy building systems that get used—and working with people who know when to debate and when to just run the experiment—this jobs is for you. **What you will be doing:** * 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" **What we need to see:** * 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 visio
Applying for this Senior Systems Software Engineer, Machine Learning role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about NVIDIA?
Real rants from real employees. Read before you apply.