Senior High Performance AI Engineer, Agentic AI
Nvidia
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How this pay compares to similar roles
This listing doesn't post a salary. Most similar roles pay $157,137–$222,000.
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 1371 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 1096 roles with salary data.
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At a glance
Senior Systems Engineer -- Agentic AI joins the Agent Harness & Runtime Engineering team to build foundational systems for next-generation agentic AI. This role involves architecting and building scalable, reliable systems across agent runtimes, harnesses, inference, evaluation, and orchestration. The engineer will solve large-scale challenges involving distributed execution, data/ETL pipelines, HPC, cloud, Kubernetes, and GPU compute environments while optimizing for performance and developer experience. Candidates must possess a strong foundation in LLMs, multimodal models, and agentic AI, alongside deep expertise in software architecture and distributed systems. Required technical skills include proficiency in Python, C++, Go, or Rust to develop production-quality code. The role focuses on the intersection of AI and systems engineering, translating evolving capabilities into scalable infrastructure while addressing complex problems across the stack from model behavior to compute resources.
What does a Systems Engineer earn?
Median $155000 from 237 postings across 36 companies.
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