Senior Software Engineer, Agentic AI Applications

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

NVIDIA is seeking a Senior Software Engineer to help build agentic blueprints and reference workflows, including the AI-Q deep researcher blueprint. This role focuses on crafting industry leading agentic reference examples that teach the industry how to implement agentic AI in their own enterprises. The ideal candidate has a strong background in generative AI, ability to convert proof-of-concept applications into products, and a strong engineering background in creating production-ready code.

What you'll be doing:

• Design, develop, and implement agentic AI blueprints (applications) that show enterprises how to utilize and deploy this technology.

• Implementing new features of our GenAI SDKs that enable LLM agents to expand to new, more demanding use cases and larger deployment configurations.

• Crafting proof-of-concept workflows rooted in first principles that apply modern data science techniques to GenAI use cases.

• Collaborating with other engineers to develop new optimizations for agentic applications across the entire data center which focus on improving accuracy, reducing latency, and growing efficiency.

• Building integrations between the AIQ toolkit and other NVIDIA products and services such as the NeMo Framework, NIMs, and NVIDIA Blueprints.

• Working with data scientists and ML/DL engineers to move from proof-of-concept analysis and modeling to production-ready pipelines and deployments.

What we need to see:

• BS in Computer Engineering, Computer Science, Data Science, or other closely related field (or equivalent experience).

• Proficient in Python, with at least 5+ years of experience building Python libraries or applications for enterprise customers.

• Experience with GenAI application development using LLM frameworks (e.g., Langchain, Llamaindex, or AutoGen), evaluation systems (e.g., RAGAs), and observability platforms (e.g., Arize Phoenix, W&B Weave, or LangSmith).

• Experience using and understanding of agentic frameworks.

• Proficient in distributed orchestration and communication frameworks (e.g., Kafka, Ray).

• Ability to quickly learn and apply new technologies and libraries.

• Self-starter with a proactive work ethic, capable of working independently and successfully within a distributed team.

• Strong collaboration skills, which are essential for distributed multi-functional teams.

Ways to stand out from the crowd:

• MS, PhD, or equivalent experience in Computer Engineering, Computer Science, Data Science, or other closely related quantitative field.

• Experience developing your own agents in Python or a similar language (e.g., Go).

• Concrete examples/code of how you have profiled code in the past to identify performance bottlenecks and examples of how you mitigated these.

• Experience developing for GPU platforms and familiarity with NVIDIA technologies (e.g., CUDA, TensorRT, Triton, NeMo) and LLM serving frameworks (e.g., Dynamo, vLLM, SGLang).

• Experience with RAG systems and communication protocols (e.g., MCP, A2A).

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family - www.nvidiabenefits.com 

The base salary range is 136,000 USD - 264,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we 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.