NVIDIA
Senior System Software Engineer, Agentic Retrieval
$184K–$356K
US, CA, Santa Clara +4 · Senior · Full-time · Posted Oct 2, 2026
- Location
- US, CA, Santa Clara
US, WA, Remote
US, CA, Remote
US, WA, Redmond
US, WI, Remote - Experience
- 6+ years of experience in a similar or related role.
- Education
- Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or a related field (or equivalent experience).
About the job
Develop GPU-accelerated systems and multimodal data pipelines for LLM training and agentic retrieval, improving retrieval quality, performance, and cost.
What you'll do
- Build and optimize Rust-based data-processing frameworks and agentic retrieval pipeline components for GPU-accelerated environments.
- Develop, benchmark, profile, and optimize multimodal data-preparation pipelines and algorithms for LLM applications.
- Collaborate across teams to evaluate proofs of concept, plan production tools, and improve continuous delivery systems.
What they ask for
- Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or a related field (or equivalent experience).
- Experience delivering software in a cloud context and familiarity with cloud infrastructure management.
- Knowledge of MLOps technologies such as Docker-Compose, Containers, Kubernetes, and data center deployments.
- Hands-on understanding of NLP, LLM, VLM, Generative AI, and Agentic Retrieval workflows.
Pay
184,000 USD - 287,500 USD (base salary, Level 4); 224,000 USD - 356,500 USD (base salary, Level 5)
Tools
Rust, Python, Docker-Compose, Containers, Kubernetes
AI focus
Build multimodal data pipelines, LLM training systems, and agentic retrieval tools; apply benchmarking, prompt engineering, fine-tuning, and model evaluation to improve AI capability, speed, accuracy, and cost.
Model-written summary · the original posting is authoritative