Lead Senior Software Engineer, Agentic AI Applications

at Nvidia
📍 Santa Clara, United States
USD 184,000-356,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Go @ 4 Kafka @ 6 Python @ 7 Data Science @ 4 Leadership @ 4 Communication @ 6 Mentoring @ 4 Performance Optimization @ 4 LLM @ 4 CUDA @ 3 GPU @ 3

Details

NVIDIA is seeking a Senior Software Engineer to serve as a Tech Lead, driving the design and delivery of agentic blueprints and reference workflows (including the AI-Q Deep Researcher blueprint). The role focuses on creating agentic reference applications that demonstrate how enterprises can implement agentic AI at scale, translating research and prototypes into robust, scalable, and maintainable systems, and mentoring others.

Responsibilities

  • Design, develop, and implement agentic AI blueprints (applications) that show enterprises how to utilize and deploy agentic AI.
  • Lead technical reviews and provide mentorship to engineering teams building production-grade workflows and extending GenAI SDK capabilities.
  • Develop proof-of-concept workflows rooted in first principles using modern data science techniques for GenAI use cases.
  • Collaborate cross-functionally with product, research, and infrastructure teams to evolve NVIDIA's agentic ecosystem, including integrations between the NeMo Agent Toolkit and other NVIDIA products and services (NeMo Framework, NIMs, NVIDIA Blueprints).
  • Drive performance optimization for agentic applications across the data center, improving accuracy, reducing latency, and increasing efficiency.
  • Establish engineering standards and best practices for developing, testing, and deploying agentic AI applications across distributed environments.

Requirements

  • BS in Computer Engineering, Computer Science, Data Science, or a related field, or equivalent experience; MS or PhD preferred.
  • 8+ years of software engineering experience, including 2+ years as a tech lead.
  • Proficient in Python, with at least 6+ years building Python libraries or applications for enterprise customers.
  • Experience with GenAI application development using LLM frameworks (examples: LangChain, LlamaIndex, AutoGen), evaluation systems (e.g., RAGAs), and observability platforms (e.g., Arize Phoenix, Weights & Biases, LangSmith).
  • Experience using and understanding agentic frameworks.
  • Proficient in distributed orchestration and communication frameworks (examples: Kafka, Ray).
  • Ability to quickly learn and apply new technologies and libraries.
  • Self-starter able to work independently and within a distributed team; strong communication and collaboration skills across distributed, cross-functional teams.

Ways to stand out

  • Demonstrated leadership in building and scaling agentic AI applications in production.
  • Experience developing your own agents in Python or a similar language (e.g., Go).
  • Concrete examples/code of profiling and mitigating performance bottlenecks.
  • Experience developing for GPU platforms and familiarity with NVIDIA technologies (CUDA, TensorRT, Triton, NeMo) and LLM serving frameworks (Dynamo, vLLM, SGLang).
  • Experience with RAG systems and communication protocols (e.g., MCP, A2A).

Compensation & Application

  • Base salary range for Level 4: 184,000 USD - 287,500 USD.
  • Base salary range for Level 5: 224,000 USD - 356,500 USD.
  • You will also be eligible for equity and benefits.
  • Applications for this job will be accepted at least until January 16, 2026.

Company & Equal Opportunity

  • NVIDIA highlights its use of AI tools in recruiting processes.
  • NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. The company does not discriminate based on protected characteristics.