Senior Software Engineer, Agentic Memory
Nvidia
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How this pay compares to similar roles
This role pays more than 85% of similar roles. Most pay $163,165–$228,612 — the shaded band above. At the midpoint, this role pays about $236k versus about $196k for comparable roles.
Based on 240 similar postings.
Employer
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 928 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 916 roles with salary data.
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At a glance
As a Senior Applied Machine Learning Engineer on NVIDIA’s Agentic Engineering team within the Deep Learning Framework Group, you will work closely with early-adopter engineering teams to identify pain points and develop agentic workflows that automate code generation, testing, and tuning. Your day-to-day involves iterating with these teams to validate or revise plans based on evolving requirements, using Python and other tools to build scalable infrastructure for autonomous agents that optimize high-dimensional parameters in real hardware environments. Familiarity with multi-agent orchestration frameworks like LangChain/LangGraph is essential, as you will integrate these systems into git-native workflows and CI pipelines. This role requires a strong background in AI systems, experience with GPUs, and the ability to thrive in an ambiguous, self-directed environment while contributing to cross-organizational collaboration on agentic methodologies.
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