The NVIDIA PerfTech team is looking for a talented C++ Software Engineer to help build the next generation of AI-powered developer tools. You will apply strong C++ and software-engineering fundamentals while gaining hands-on experience with agentic workflows, retrieval systems, and AI services.
In this role, you will contribute to Genie, NVIDIA’s company-wide AI knowledge and developer-productivity service. You will work across C++ tools and AI services to help engineers find information, understand complex systems, and work more effectively.
What You’ll Be Doing:
- 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.
What We Need to See:
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
- 5+ years of modern C++ programming skills gained through professional experience, internships, or substantial technical projects.
- 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.
Ways to Stand Out From the Crowd:
- 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.
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!
NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate—including in our hiring and promotion practices—on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
Skills Required
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, a related field, or equivalent practical experience
- 5+ years of modern C++ programming experience through professional work, internships, or substantial technical projects
- Understanding of data structures, algorithms, object-oriented design, multithreading, debugging, and testing
- Ability 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 complete work independently
- Good communication and collaboration skills, with openness to technical feedback
- 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
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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