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# Senior Systems Software Engineer, Machine Learning

- **Company:** NVIDIA Corporation
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $152,000.0 - $241,500.0
- **Contract:** Internship / Graduate position
- **Skills:** Artificial Intelligence, Systems Engineering, Computer Vision, C++ (Programming Language), Computer Programming, Data Files, Information Extraction, Python (Programming Language), Machine Learning, Software Engineering, Graphics Processing Unit (GPU), Deep Learning, Agentic-AI, Information Technology
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-systems-software-engineer-machine-learning-santa-clara-ca--c8851928-a2d8-4f85-bdcf-8f996339efb4

## About the Role

Software Engineering, Machine Learning, Systems Engineering, Artificial Intelligence (AI), Autonomous Driving Systems, GPU (Graphics Processing Unit), Team Player, Data Sets, Building Systems, Deep Learning, * Master's, 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.