NVIDIA

Compensation

Full Description

Note: The job is a remote job and is open to candidates in USA. NVIDIA has been transforming computer graphics and accelerated computing for over 25 years, and they are seeking a Senior Software Engineer to serve as a Tech Lead. This role focuses on designing and delivering agentic AI applications, mentoring the engineering team, and collaborating with cross-functional teams to optimize performance and establish best practices. Responsibilities • Design, develop, and implement agentic AI blueprints (applications) that show enterprises how to utilize and deploy this technology. • Lead technical reviews and provide mentorship, guiding the engineering team in building production-grade workflows and extending core GenAI SDK capabilities. • Develop proof-of-concept workflows rooted in first principles that apply modern data science techniques to 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 such as the NeMo Framework, NIMs, and NVIDIA Blueprints. • Drive performance optimization for agentic applications across the data center, focusing on improving accuracy, reducing latency, and growing efficiency. • Establish engineering standards and best practices for developing, testing, and deploying agentic AI applications across distributed environments. Skills • 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 tech lead. • Proficient in Python, with at least 6+ 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. • Excellent communication and collaboration skills across distributed, cross-functional teams. • 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 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). Benefits • Equity • Benefits Company Overview • NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is https://www.nvidia.com. Company H1B Sponsorship • NVIDIA has a track record of offering H1B sponsorships, with 1418 in 2025, 1356 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role.