Senior Software Engineer, Agentic Engineering

Nvidia

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Quick summary

Work type
On-site
Location
Santa Clara, CA
Employment
Full-time
Posted
51 days ago
Freshness
Confirmed live today

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Similar $185k
$109k $248k
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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1763 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1151 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer, Agentic Engineering

The Senior Software Engineer, Agentic Engineering joins the Deep Learning Framework Group to build agentic workflows that automate code generation, testing, and tuning across frameworks, compilers, and developer tooling. You will partner with early-adopter engineering teams to identify friction points and translate complex requirements into durable, scalable infrastructure. Daily responsibilities include developing multi-agent orchestration, agent-ifying compiler infrastructure for high-dimensional optimizations, and integrating systems into git-native workflows and CI pipelines. You will utilize Python, LangChain, and LangGraph to drive autonomous loops that apply changes and measure results on real GPUs. The role requires expertise in compiler infrastructure, intermediate representations, and hardware-aware performance optimization for deep learning workloads. You will solve the technical problem of applying modern AI to the craft of engineering itself.

What does a Software Engineer earn in California?

Median $214500 from 1167 postings across 73 companies.

See salary data

What you'll do

  • Identify friction points in engineering workflows to determine where agentic workflows will have the highest impact.
  • Develop durable, scalable infrastructure to automate code generation, testing, and tuning across frameworks and compilers.
  • Build multi-agent orchestration systems using frameworks like LangChain or LangGraph to drive autonomous loops.
  • Agent-ify compiler infrastructure to enable autonomous agents to perform high-dimensional optimizations on real hardware.
  • Integrate agentic systems into git-native workflows and CI pipelines for automated building and testing.
  • Iterate with early-adopter teams to validate and revise plans based on production integration feedback.
  • Contribute reusable agentic methodologies to the broader organization to facilitate wide-scale adoption.

What we're looking for

  • MS in Computer Science, Engineering, or equivalent experience.
  • 6+ 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.
  • Experience building tools or systems shaped by direct partnership with internal customer or user teams.
  • Experience in multi-agent orchestration frameworks, compiler infrastructure, autonomous search, hardware-aware optimization, or code generation systems.
  • Experience building evaluation harnesses, internal tools for force-multiplying teams, or staying updated on kernel programming techniques (preferred).

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