Used Tools & Technologies
Machine LearningRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Python @ 7
Algorithms @ 4
Data Structures @ 7
Leadership @ 4
Mentoring @ 4
Technical Leadership @ 4
LLM @ 4
AI @ 4
Agentic AI @ 4
RAG @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. As part of NVIDIA's applied AI team, you will lead a team at the intersection of research, engineering, and product development, transforming innovative ideas and research breakthroughs into real-world solutions. This role focuses on guiding teams developing generative and agentic AI technologies.
Responsibilities
- Manage and grow a team building agentic AI solutions, including sophisticated AI agents and their integration with enterprise production systems.
- Provide technical direction and strategic leadership in the design, development, and deployment of AI applications using LLMs, agentic frameworks, and related technologies.
- Oversee development of retrieval and generation algorithms for enterprise data (text, code, and images) to support advanced AI use cases.
- Partner closely with engineering, research, and product teams to deliver LLM-powered solutions for engineering assistants and multi-turn, multi-modal dialogue systems.
- Ensure high technical standards and drive operational excellence across AI application development efforts.
- Stay informed on the latest advancements in ML/AI and ensure your team adopts the most effective techniques and tools.
- Foster a collaborative, inclusive, and high-performance team culture while mentoring team members and supporting their career growth.
Requirements
- Master's or PhD degree in Electrical Engineering, Computer Science/Engineering, or a related discipline (or equivalent experience).
- 12+ overall years of industry experience with 5+ years in technical leadership or managing software/AI teams.
- Proven experience managing teams building ML/AI systems, including fine-tuning LLMs, multi-agent frameworks, RAG pipelines, and vector databases.
- Strong technical foundation in software engineering, particularly Python, data structures, and system design.
- Leadership experience, mentoring, and coaching skills for creating high performing teams.
- Demonstrated success in leading cross-functional teams and delivering production-grade AI applications.
- A proactive, hands-on leader who can balance strategic thinking with technical depth and execution.
Compensation & Benefits
- Base salary range: 272,000 USD - 431,250 USD (determined based on location, experience, and internal pay equity).
- Eligible for equity and benefits (see NVIDIA benefits page).
Additional Information
- Applications accepted at least until June 5, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer committed to fostering an inclusive work environment.