7 hours ago
Remote, United Kingdom +2 moreSenior
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 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 with multidisciplinary engineering teams.
- Mentor engineers and establish best practices for production-quality AI-powered systems.
Requirements
- 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.
- Experience integrating 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 experience includes developer tools, profiling systems, debugging infrastructure, performance-analysis platforms, MCP, structured tool calling, agent orchestration, retrieval-augmented generation, secure enterprise-scale retrieval or semantic-search systems, LLM evaluation, grounding, observability, hallucination reduction, GPU architecture, graphics APIs, game engines, or application-performance optimization.
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.