NVIDIA is seeking a Senior full-stack developer to create next-generation AI platforms that enhance business efficiency and productivity. This role involves collaborating with cross-functional teams to deliver intelligent experiences and ensuring the reliability and performance of autonomous systems. The developer will architect and build agentic AI systems, integrating them with enterprise data sources and APIs. This position offers the opportunity to mentor engineers and lead complex technical initiatives in a dynamic environment focused on innovation.

• Bachelor's or Master's degree in Computer Science, Engineering, or related field or equivalent experience.
• 12+ years of experience building large-scale distributed systems and cloud-native applications, preferably in Python.
• Strong programming skills across multiple languages and modern software stacks.
• Hands-on experience with test automation, production testing, and automation frameworks.
• Solid understanding of Linux, embedded systems, firmware, and hardware/software integration.
• Deep knowledge of IT Service Management (ITSM) and ServiceNow, particularly in HR, Security, and Finance modules.
• Strong experience designing and deploying LLM-powered systems, including RAG and agent-based architectures.
• Deep understanding of agentic AI paradigms, including planning, memory, and multi-step reasoning.
• Proven ability to design systems with high reliability, scalability, and performance.
• Hands-on experience deploying applications in Kubernetes environments.
• Proven track record leading complex technical initiatives and mentoring high-performing teams.
• Excellent problem-solving, communication, and system design skills.

• Collaborate with cross-functional teams to deliver end-to-end intelligent experiences across applications.
• Ensure reliability, safety, and performance of autonomous systems operating at scale.
• Integrate agents with enterprise data sources, APIs, and internal microservices to enable real-world actions.
• Architect and build agentic AI systems that leverage LLMs for reasoning, planning, and tool orchestration across enterprise workflows.
• Design and implement multi-agent frameworks enabling coordination, delegation, and dynamic task execution.
• Develop scalable platforms for retrieval-augmented generation (RAG), long-term memory, and contextual reasoning.
• Build reusable infrastructure for agent orchestration, tool integration, evaluation, and observability.
• Establish best practices for agent evaluation, guardrails, and human-in-the-loop workflows.
• Mentor engineers and provide technical leadership in designing complex distributed AI systems.
• Stay at the forefront of advancements in LLMs, agent frameworks, tool use, reasoning architectures, and open-source ecosystems.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.