Senior Software Engineer, Agentic Engineering

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$224,000–$356,500 / yr
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $178k
This role $290k
$94k $385k
below market most similar roles pay here above market

This role pays more than 95% of similar roles. Most pay $149,500–$207,037 — the blue band above. At the midpoint, this role pays about $290k versus about $178k for comparable roles.

Based on 240 similar postings.

Employer

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 1531 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1104 roles with salary data.

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View all roles at Nvidia

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 translate complex requirements into durable, scalable infrastructure. Day-to-day responsibilities include identifying friction points, iterating on proof points, and developing multi-agent orchestration systems. You will agent-ify compiler infrastructure for high-dimensional optimizations and integrate these systems into git-native workflows and CI pipelines. Required skills include Python development, knowledge of GPUs or data-parallel systems, and experience with LangChain or LangGraph. You must demonstrate expertise in compiler infrastructure, program transformation, autonomous search, or hardware-aware performance optimization for deep learning workloads to solve problems at the intersection of AI and engineering.

What does a Software Engineer earn in California?

Median $214500 from 1178 postings across 77 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 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, testing, and iteration.
  • Translate complex requirements from internal engineering teams into durable, scalable infrastructure.
  • Iterate on proof points with early-adopter teams to validate and revise technical plans as requirements evolve.
  • 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.
  • 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.
  • 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.
  • Passion for following ML hardware evolution and emerging kernel programming techniques (preferred).

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