Job Description

NVIDIA is seeking an experienced engineer to work on GeForce G-Assist, an AI assistant that utilizes Small Language Models and hybrid cloud capabilities. The role involves evaluating and improving model performance, optimizing local inference, and designing retrieval-augmented generation systems.

Requirements

8+ years of validated experience in system software or a related field
M.S. or higher degree in Computer Science, Data Science, Engineering, or a related field
Strong ability to read and write C/C++ code in systems-level or performance-sensitive environments
Proficiency in Python
Hands-on experience with llama.cpp or similar local inference frameworks
Experience evaluating Small Language Models, including task-based and conversational testing
Knowledge of SLM and VLM architectures and their trade-offs
Familiarity with agentic AI patterns such as tool use and planning

Responsibilities

Evaluate and improve Small Language Models used in GeForce G-Assist
Identify and mitigate conversation and context contamination
Work with SLM and VLM architectures to support text and multimodal interactions
Optimize local inference using llama.cpp, including quantization and performance tuning
Design and integrate retrieval-augmented generation systems

Benefits

Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.