Senior Systems Software Engineer, Machine Learning

Responsibilities

• 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 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.
• Ways to stand out from the crowd:
• Experience designing and operating multi-agent pipelines in production, including handling non-deterministic failures, retry logic, and tool-call error recovery"
• Shipped a product feature backed by a VLM (e.g., image captioning, document understanding) - including handling inference latency, cost-per-call tradeoffs, and degraded-mode fallbacks
• Shipped AI-powered features to real users - not just prototyped with agent frameworks. If your experience is primarily personal projects or hackathons, this role may not be the right fit yet.
• NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
• 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 May 30, 2026. This posting is for an existing vacancy.
• NVIDIA uses AI tools in its recruiting processes.

Additional Information

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.

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at NVIDIA? Share your experience