Role Overview
The NVIDIA PerfTech team is looking for an outstanding Senior C++ Software Engineer to build the next generation of AI-powered developer tools. You will apply deep expertise in modern C++, systems architecture, performance, and debugging to extend our developer-tools ecosystem into the emerging world of agentic software. In this role, you will help develop Genie, NVIDIA’s company-wide AI knowledge and developer-productivity service. You will build production-quality C++ components and integrations while contributing to agentic workflows and retrieval systems that help engineers find information, understand complex systems, and work more effectively.
Responsibilities
- Architect and develop production-quality C++ components, APIs, and integrations for NVIDIA’s AI-powered developer-tools ecosystem.
- Build reliable, performance-sensitive systems connecting native C++ tools with Genie’s retrieval and agentic capabilities.
- Design maintainable interfaces between C++ applications and AI services exposed through Python, MCP, REST APIs, and structured tool calling.
- Contribute to agentic workflows, retrieval systems, ingestion pipelines, evaluation infrastructure, and enterprise integrations.
- Drive technical initiatives from early exploration through production deployment, working closely with multidisciplinary engineering teams.
- Mentor engineers and help establish best practices for production-quality AI-powered systems.
NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working with us. If you are creative and autonomous, with a genuine passion for technology, we want to hear from you!
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
- 5+ years of professional experience developing complex production software in modern C++.
- Strong knowledge of software architecture, concurrency, debugging, performance optimization, and maintainable API design.
- Experience owning complex systems from design through implementation, deployment, and ongoing operation.
- Practical experience with AI-powered applications, agentic workflows, developer tools, retrieval systems, or related technologies.
- Ability to integrate native C++ applications with Python-based services and service APIs.
- Excellent communication skills and demonstrated ability to lead technical initiatives, clarify ambiguous requirements, and mentor engineers.
Preferred Qualifications
- Experience building developer tools, profiling systems, debugging infrastructure, or performance-analysis platforms.
- Background with MCP, structured tool calling, agent orchestration, or retrieval-augmented generation.
- Experience designing secure, enterprise-scale retrieval or semantic-search systems.
- Familiarity with LLM evaluation, grounding, observability, and hallucination reduction.
- Knowledge of GPU architecture, graphics APIs, game engines, or application-performance optimization.
