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NVIDIA
NVIDIA
H1B Visa SponsorArtificial IntelligenceHealthcareManufacturing
NVIDIA develops accelerated computing and artificial intelligence technologies used across gaming, data centers, cloud computing, healthcare, manufacturing, automotive, and robotics. Its work spans graphics processing units, AI platforms, simulation, and industry-focused solutions, including NVIDIA Omniverse for collaborative 3D workflows, NVIDIA DRIVE for autonomous vehicle development, and NVIDIA Clara for healthcare applications. The company brings together large technical teams working on the infrastructure and software that support advanced computing, simulation, and AI-driven analytics.
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Senior System Software Engineer, Agentic Retrieval at NVIDIA (Remote)

NVIDIA is hiring a senior system software engineer to build Rust and Python pipelines for GPU-accelerated agentic retrieval and LLM workflows. The role focuses on multimodal data systems, language-model tooling, and generative AI productivity products.

USUnited StatesCACaliforniaWAWashingtonWIWisconsin
$184,000 – $356,500 / year
RemoteFull-timeSeniorEnglish RequiredFull-stack EngineerSoftware Engineer
CloudDockerKubernetesPythonRust

Description

  • Create and optimize Rust data-processing frameworks for large datasets in GPU-accelerated environments that support LLM training.
  • Lead the development and ongoing optimization of agentic retrieval pipeline components, including GPU acceleration and model performance.
  • Partner with LLM and machine learning researchers on full-stack, GPU-accelerated data preparation pipelines for multimodal models.
  • Benchmark, profile, and improve Python algorithms across system architectures for LLM applications.
  • Translate requirements into proofs of concept, evaluate results, and define roadmaps for production tools and library capabilities.
  • Develop generative AI and copilot products that enhance employee productivity.
  • Build integrated systems that provide consistent experiences across applications and end-to-end user insights.
  • Help develop and maintain continuous delivery pipelines that enable faster, safer production releases.
  • Review peers’ work for performance, scalability, and correctness while contributing to frameworks, standards, and technology adoption.

Requirements

  • Bachelor’s or master’s degree in computer science, computer engineering, or a related field, or equivalent experience.
  • At least six years of experience in a similar or related role.
  • Professional experience delivering cloud-based software and familiarity with cloud infrastructure management.
  • Knowledge of MLOps technologies, including Docker Compose, containers, Kubernetes, and data center deployments.
  • Deep hands-on knowledge of NLP, LLM, VLM, generative AI, and agentic retrieval workflows.
  • A strong commitment to professional growth, continuous learning, and sharing discoveries with teammates.
  • Excellent communication skills, including the ability to explain complex topics clearly and concisely.
  • Ability to collaborate effectively with cross-functional teams, principals, and architects across organizational boundaries and geographies.

Benefits

  • Equity compensation
  • Employee benefits

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