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Senior Software Engineer, Agentic Engineering

NVIDIA· Engineer, Sys SW
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Santa Clara, CA$224k - $356.5kFull-timePosted 1w ago

About the role

Senior-level role in NVIDIA's Deep Learning Frameworks group focusing on agentic workflows to automate code generation, testing, and tuning across NVIDIA's frameworks, compilers, and developer tooling. Greenfield opportunity with high autonomy, partnering with early-adopter teams to translate requirements into durable, scalable infrastructure and integrated, GPU-backed workflows.

Responsibilities

  • Develop deep understanding with early-adopter engineering teams to identify friction points for agentic workflows
  • Iterate with teams on proof points to validate or revise plans
  • Apply applied ML judgment to identify durable architectural opportunities over hype
  • Agent-ify compiler infrastructure to enable autonomous agents for high-dimensional optimizations with closed-loop validation on real hardware
  • Design and implement multi-agent orchestration (e.g., LLM-native tooling, LangChain/LangGraph)
  • Drive autonomous loops that apply changes, measure results, and iterate
  • Integrate agent systems into git-native workflows and CI pipelines for build/test/iterate against real GPUs
  • Contribute to cross-organ group sharing reusable agentic methodologies and adoption across the organization

Qualifications

  • MS in Computer Science, Engineering, or equivalent experience
  • 12+ years of experience
  • Strong Python development skills
  • Working knowledge of GPUs or other highly data-parallel systems
  • Demonstrated projects or work experience using and supporting AI systems
  • Track record of shipping complex projects with minimal direction, including raising challenges or syncing at the right moments
  • Experience building tools or systems shaped by direct partnership with internal customer or user teams
  • Examples of leading technical work through changing requirements and revising direction when evidence demands it
  • Experience in one or more of the following areas: Multi-agent orchestration frameworks (e.g., LangChain, LangGraph) or LLM-based workflow automation; Compiler infrastructure/IR/program transformation; Autonomous search/optimization over high-dimensional parameter spaces; Hardware-aware performance optimization for DL workloads; Code generation systems or DSLs

Skills

Required:PythonGPU knowledgeAI systemsMulti-agent orchestration
Nice to have:Compiler infrastructureCode generation/DSLs

Benefits

  • Equity
  • Benefits (as stated in the posting)
Last updated Oct 16, 2026. Interested? Apply on the company site.

About NVIDIA

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

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