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.
What You’ll Be Doing:
- 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.
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 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.
Ways to Stand Out From the Crowd:
- 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.
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, 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 ability to lead technical initiatives, clarify ambiguous requirements, and mentor engineers
- Experience building developer tools, profiling systems, debugging infrastructure, or performance-analysis platforms
- Experience 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
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.”
