Nvidia
Machine Learning Engineer, GeForce G-Assist
US, CA, Santa Clara · Senior
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About the role
- What you'll be doing: Together, we focus on how models behave in production, not just on benchmarks.
- Evaluate and improve Small Language Models used in GeForce G-Assist, with an emphasis on accuracy, robustness, and conversational reliability.
- Identify and mitigate conversation and context contamination, including state drift, prompt leakage, and retrieval cross-talk.
Responsibilities
- Work with SLM and VLM architectures to support text and multimodal interactions.
- Optimize local inference using llama.cpp, including quantization, memory usage, and performance tuning.
- Read, write, and optimize C/C++ code in performance-critical paths.
- Design and integrate retrieval-augmented generation (RAG) systems that ground responses in system and user context.
- Support agentic AI workflows, enabling planning, tool use, and multi-step execution.
- We work closely across engineering and product teams to ensure G-Assist performs reliably in real-world scenarios.
Requirements
- What we need to see: 5+ years of validated experience in system software or a related field, with an M.S. or higher degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience).
- Strong ability to read and write C/C++ code in systems-level or performance-sensitive environments, along with proficiency in Python.
- Hands-on experience with llama.cpp or similar local inference frameworks.
- Knowledge of SLM and VLM architectures and their trade-offs, experience with retrieval technologies and language-model integration, and familiarity with agentic AI patterns such as tool use and planning.
- 5+ years of validated experience in system software or a related field, with an M.S. or higher degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience).
Compensation
- 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.
Benefits
- We're looking for teammates who enjoy solving real problems, learning as they go, and collaborating in a tight-knit environment.
Company info
- We are widely considered to be one of the technology world's most desirable employers, and as a result, we have some of the most forward-thinking and hardworking people in the world working for us.
- Ways to stand out from the crowd: Experience contributing to language or multimodal models that power user-facing products, features, or workflows.
This listing is sourced directly from Nvidia's careers page and normalized into a canonical job model.