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NVIDIA

Designs the chips and software that power AI

Senior C++ Software Engineer - AI Developer Tools

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeTel Aviv-Yafo, IsraelNo salary listedIn-person

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
  • At least five 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.
  • Ability to lead technical initiatives, clarify ambiguous requirements, and mentor engineers.

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.

Desired 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.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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