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NVIDIA

Designs the chips and software that power AI

Senior C++ Software Engineer - AI Developer Tools

AI Application EngineeringConfirmed 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 5 years of modern C++ programming skills gained through professional experience, internships, or substantial technical projects.
  • A good understanding of data structures, algorithms, object-oriented design, multithreading, debugging, and testing.
  • Ability and motivation to work across C++ systems and Python-based AI services.
  • Familiarity with AI-powered applications, agentic workflows, retrieval systems, or related technologies.
  • Ability to investigate unfamiliar problems, learn new technologies, and follow work through to completion.
  • Good communication and collaboration skills, with openness to technical feedback.

Responsibilities

  • Develop production-quality C++ components, APIs, and integrations for NVIDIA’s AI-powered developer-tools ecosystem.
  • Build capabilities connecting native C++ tools with Genie’s retrieval and agentic features.
  • Contribute to agentic workflows, retrieval systems, ingestion pipelines, MCP tools, APIs, and enterprise integrations.
  • Build benchmarks and improve retrieval quality, reliability, performance, and resource usage.
  • Own features from investigation and design through implementation, testing, and delivery.
  • Collaborate with graphics, software, and hardware teams developing performance-analysis and developer tools.

Desired Qualifications

  • Experience building substantial C++ applications, developer tools, or performance-sensitive systems.
  • Familiarity with C++ performance analysis, concurrency, memory management, or large codebases.
  • Hands-on experience with RAG, semantic search, embeddings, vector databases, or retrieval evaluation.
  • Experience with MCP, REST APIs, structured tool calling, or agent frameworks.
  • 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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