Senior Systems Software Engineer, E-commerce AI Platform - GeForce NOW

NVIDIA • Us, CA

2d

About The Position

GeForce NOW is Nvidia’s Cloud Gaming service, streaming games at the highest quality to any and every user, regardless of their device types and capabilities—low-end PCs, Macs, or mobile devices. Using the most advanced GPUs and Nvidia proprietary software, GeForce NOW transforms the gaming experience with always up-to-date games on always the latest hardware, a streaming experience rivaling that of a local PC, and near-instant launch—just click and play! For more details, see http://www.geforce.com/geforce-now We are looking for a Senior System Software Engineer who sees the big picture of Cloud Computing and is deeply technical, creative, and hands-on. In this role, you are required to leverage a deep understanding of programming languages, distributed systems, multithreading, cloud services, and system software to design, build, and deploy system services that run in the GeForce NOW cloud. Your work will craft scalable and efficient cloud services to drive Visual Computing, Deep Learning, and Artificial Intelligence. We are looking for an experienced engineer to architect and deploy the production-grade AI agents that power the future of our e-commerce platform. This is a high-impact, hands-on role in which you will build autonomous systems to solve complex challenges in personalization, logistics, and customer experience. Beyond writing code, you will serve as a technical mentor, helping our broader engineering team master modern AI development practices.

Requirements

• Solid Engineering Foundation: A Bachelor’s or Master’s degree in Computer Science or a related technical field or equivalent experience.
• Proven Track Record: At least 8+ years of professional software engineering experience, including 3+ years specifically building and deploying production-level LLM applications.
• Language Mastery: Expert proficiency in Python, Java, and GoLang for building high-performance backend services.
• Framework Expertise: Hands-on experience with LangChain and LangGraph is required; familiarity with AutoGen or LlamaIndex is highly valued.
• LLM Proficiency: Deep understanding of model integration (OpenAI, Anthropic, Llama), including prompt engineering, tool-calling, and ReAct patterns.
• Infrastructure Skills: Practical experience with AWS, Docker, Kubernetes, and SQL/NoSQL databases to manage scalable, containerized applications.
• MLOps Knowledge: A strong grasp of CI/CD pipelines, versioning for AI components, and observability tools for monitoring non-deterministic systems.
• Technical Communication: The ability to explain complex architectural decisions and AI concepts to both technical peers and business stakeholders.

Nice To Haves

• E-commerce Background: Previous experience building features for high-traffic consumer platforms or large-scale retail environments.
• Advanced AI Tooling: Practical familiarity with the Nemo Agent Toolkit or contributing to open-source agentic AI projects.
• Safety & Ethics: A background in implementing AI guardrails, bias mitigation, and security hardening for autonomous systems.
• Performance Optimization: Experience specifically building high-performance microservices designed to support heavy AI workloads.

Responsibilities

• Architecting Autonomous Systems: Design and optimize production-ready AI agents using frameworks like LangChain, LangGraph, and CrewAI to handle complex, multi-step e-commerce workflows.
• Enhancing Customer Experience: Build intelligent conversational agents for order management, personalized shopping assistance, and automated support.
• Optimizing Operations: Develop agents focused on inventory forecasting, supply chain planning, and dynamic pricing models to drive business efficiency.
• Securing the Platform: Create real-time monitoring systems for fraud detection and risk assessment to protect transactions and user data.
• Building Data Pipelines: Construct robust RAG (Retrieval-Augmented Generation) pipelines and sophisticated memory management systems to provide agents with accurate, real-time context.
• Ensuring System Reliability: Implement rigorous testing, hallucination mitigation, and human-in-the-loop mechanisms to make AI behavior predictable and safe.
• Integrating Technical Stacks: Connect AI agents to our core backend services, REST APIs, and payment gateways to deliver a seamless end-to-end user experience.
• Mentoring the Team: Lead workshops, conduct pair-programming sessions, and develop reference architectures to help fellow engineers transition into confident AI contributors.

Benefits

• With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers.
• You will also be eligible for equity and benefits .

What This Job Offers

• Job Type: Full-time
• Career Level: Senior