Senior Software Engineer, Applied AI

Responsibilities

• Build and own production-grade applied AI systems for NVIDIA’s technical and solution development use cases, including agentic solutions where they materially improve the systems and softwares.
• Design and build agentic workflows and the software around them: workflow services, APIs, retrieval, MCP/A2A-style tool integrations, agent harnesses, automation, telemetry, operational controls, and human oversight.
• Design reliable services, APIs, workflow state, event-driven execution, and observability using systems such as Kafka, ClickHouse, and OTel-style patterns.
• Translate complex technical and operational requirements into clear system designs, plans, interfaces, measurable outcomes, and pragmatic technical decisions through design reviews, code reviews, and clear communication.
• Develop production software in Python and other relevant languages, with strong testing, observability, CI/CD, documentation, and operational practices.
• Build performance and benchmarking workflows for existing production solutions or products, including validation harnesses, regression tests, tracing, metrics, failure analysis, latency, throughput, reliability, resource usage, and AI/inference behavior where relevant.

Languages