Job Title: Senior Software Engineer - Agentic Memory Company Name: NVIDIA Job Url: https://jobright.ai/jobs/info/69d6bfb4e63cea7a8b66ba80 Job Description: NVIDIA · 18 hours ago Senior Software Engineer - Agentic Memory United States Full-time Remote Senior Level, Lead/Staff $224K/yr - $356K/yr 12+ years exp 53% FAIR MATCH 55% Exp. Level 19% Skill 75% Industry Exp. 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. Artificial Intelligence (AI) Semiconductor Hardware Apps AI Infrastructure Foundational AI GPU Virtual Reality Growth Opportunities H1B Sponsor Likely Insider Connection @NVIDIA 2 email credits available today Discover valuable connections within the company who might provide insights and potential referrals. Get 3x more responses when you reach out via email instead of LinkedIn. Beyond Your Network View W M B T A Wenqian (Nathan) Wu & 4 connections From Your Previous Company Unlock F F F & 2 connections Previously@undefined and... From Your School Unlock F F F & 2 connections @undefined and... Find Any Email 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 Qualification Represents the skills you have Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise. Agentic systems development Agentic memory Information retrieval Data pipeline scaling Python programming Deep learning ecosystem Research publication Required 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 Preferred 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