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Senior System Software Engineer, Agentic Retrieval

NVIDIA· Engineer, Sys SW
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Hybrid (Santa Clara, CA), Hybrid (Remote, WA), Remote, Hybrid (Redmond, WA)$184k - $287.5k + equityFull-timePosted 2w ago

About the role

Senior System Software Engineer specialized in Agentic Retrieval at NVIDIA. Develop pipelines for indexing and querying multi-modal content, focusing on Generative AI, LLM, VLLM, and Agentic Retrieval with GPU-accelerated, containerized systems and end-to-end data preparation pipelines for multimodal models.

Responsibilities

  • Develop and optimize Rust-based data processing frameworks, ensuring efficient handling of large datasets on GPU-accelerated environments, vital for LLM training
  • Lead development and iterative optimization of components for Agentic Retrieval pipelines, ensuring they demonstrate GPU acceleration & the best performing models for improved TCO
  • Collaborate with teams of LLM & ML researchers in the development of full-stack, GPU-accelerated data preparation pipelines for multimodal models Implement benchmarking, profiling, and optimization of innovative algorithms in Python in various system architectures, specifically targeting LLM applications
  • Work closely with diverse teams to understand requirements, build & evaluate POCs, and develop roadmaps for production level tools and library features within the growing LLM ecosystem
  • Build amazing products to improve employee productivity using Gen-AI & Co-pilot experiences!
  • Develop integrated systems enabling unified experience across applications and driving insights for end-to-end user experience
  • Help build and maintain our Continuous Delivery pipeline with the goal of moving changes to production faster and safer, while ensuring key operational standards
  • Provide peer reviews to other specialists including feedback on performance, scalability, and correctness and actively contribute to the adoption of frameworks, standards, and new technologies

Qualifications

  • Bachelor’s or Master’s Degree program in Computer Science, Computer Engineering, or a related field (or equivalent experience)
  • 6+ years of experience in a similar or related role
  • Experience delivering software in a cloud context and is familiar with the patterns and process of managing cloud infrastructure
  • Knowledge of MLOps technologies such as Docker-Compose, Containers, Kubernetes, data center deployments etc
  • Excellent in-depth hands-on understanding of NLP, LLM, VLM, Generative AI, and Agentic Retrieval workflows
  • Self-starter with a passion for growth, enthusiasm for continuous learning and sharing findings across the team
  • Outstanding communication skills for distilling sophisticated topics down to understandable, impactful conclusions
  • Ability to work successfully with multi-functional teams, principals, and architects. Coordinates optimally across organizational boundaries and geographies.

Skills

Required:RustGPU-accelerated data processingPythonNLP / LLM / VLMCloud / MLOps

Benefits

  • equity
  • benefits (see NVIDIA benefits page)
  • Base salary and equity eligibility
Last updated Oct 9, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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