Note: The job is a remote job and is open to candidates in USA. NVIDIA’s Agentic Memory team is seeking a Senior Software Engineer with experience using, developing and researching agents in a variety of applications. The role involves designing evaluation methodologies, building data pipelines, and conducting experiments to enhance agentic memory systems.

Responsibilities

• Designing novel benchmark tasks and evaluation methodologies that measure the effectiveness of agentic memory systems including semantic, episodic, and procedural memory across multi-session and multi-turn agent trajectories
• Building and maintaining synthetic dataset generation pipelines that produce realistic, enterprise-relevant evaluation data at scale
• Designing and running experiments to understand where agent memory falls short, diagnose root causes, and inform improvements
• Developing and contributing to open-source evaluation harnesses that enable rigorous, reproducible comparison of memory system architectures
• Partnering with teams across NVIDIA who are deploying agents to understand the role of memory in a variety of applications and help integrate improvements
• Contributing to public-facing benchmarks and leaderboards that advance the state of the art in agentic memory evaluation
• Integrating our work to leverage and improve the full NVIDIA software ecosystem, working across team boundaries in the spirit of extreme codesign
• Keeping up to date with the latest developments in agentic memory across academia and industry

Skills

• Master's degree (or equivalent experience) or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or Applied Math with 12+ years of experience
• Hands-on experience developing agentic systems and pipelines, with a preference for those that integrate and involve memory
• An understanding of the state of the art in retrieval research, with a focus on agentic retrieval
• Knowledge of best practices in batching, streaming, and scaling of large-scale data pipelines to support real-world applications
• Excellent Python programming skills and a strong understanding of the Python deep learning ecosystem
• An ability to share and communicate your ideas clearly through blog posts, papers, GitHub, etc
• Excellent communication and interpersonal skills are required, along with the ability to work in a dynamic, product-oriented, distributed team
• Candidates with a Master's, Ph.D. or equivalent experience in retrieval or multimodal research are preferred
• A history of mentoring junior engineers and interns is a plus
• A track record of publication in leading conferences like CVPR, ICLR, ICCV, ECCV, KDD, etc

Benefits

• Equity
• Benefits

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