Senior Software Engineer - Agentic Memory

Nvidia

Actively hiring
Remote (Us, Ca, Remote, US) Posted 50 days ago $224,000–$356,500 / year
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At a glance

AI generated

TL;DR

NVIDIA’s Agentic Memory team is hiring a Senior Software Engineer to join their pioneering group focused on advancing agentic memory systems. This role involves designing benchmark tasks and evaluation methodologies for measuring agent performance across various types of memory, building scalable synthetic dataset generation pipelines, conducting experiments to diagnose and improve system limitations, and contributing to open-source evaluation tools. The ideal candidate will have extensive experience in developing agentic systems, a deep understanding of retrieval research, and proficiency in Python and the deep learning ecosystem. They should also possess strong communication skills and be adept at sharing insights through publications or blog posts. This position requires expertise in large-scale data pipeline management and collaboration with diverse teams across NVIDIA’s expansive ecosystem to integrate improvements into real-world applications, all while staying current with cutting-edge advancements in agentic memory research.

Skills

Python TensorFlow PyTorch Kubernetes Docker CI/CD GitHub Prometheus Grafana PostgreSQL AWS Azure Git Jupyter Notebook CUDA NVIDIA DGX Scikit-learn Pandas NumPy

What you'll do

  • Design novel benchmark tasks to measure agentic memory system effectiveness.
  • Build synthetic dataset generation pipelines for realistic evaluation data at scale.
  • Conduct experiments to diagnose agent memory shortcomings and inform improvements.
  • Develop open-source evaluation harnesses for rigorous comparison of memory systems.
  • Collaborate with NVIDIA teams to integrate memory improvements in various applications.
  • Contribute to public benchmarks advancing the state of agentic memory evaluation.

What we're looking for

  • Master’s degree or PhD in Computer Science, Electrical Engineering, AI, or Applied Math with 12+ years experience
  • Extensive hands-on experience developing agentic systems and pipelines involving memory
  • Profound understanding of state-of-the-art retrieval research, focusing on agentic retrieval
  • Expertise in Python programming and deep learning ecosystem
  • Ability to communicate ideas effectively through various mediums like blog posts and papers
  • Strong communication skills and experience working in dynamic, distributed teams
  • Preferred candidates have a track record of publication in top AI conferences

Market check

Salary context

This $224,000–$356,500 range sits above 99% of similar postings on FindRole.

Peer median band

$133,000–$234,000

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$142,400–$217,725

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

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 802 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 798 roles with salary data.

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