Senior Software Manager, Agentic AI

Overview

On Site
USD 272,000.00 per year
Full Time

Skills

Computer Graphics
Product Development
Brand
Generative Artificial Intelligence (AI)
Innovation
Team Building
Technical Direction
Strategic Leadership
Algorithms
Use Cases
Research
Operational Excellence
Application Development
Electrical Engineering
Computer Science
IT Management
Management
Team Management
Machine Learning (ML)
Vector Databases
Software Engineering
Python
Data Structure
Systems Design
Leadership
Mentorship
Coaching
Strategic Thinking
Artificial Intelligence
Integrated Circuit
Recruiting
Promotions
SAP BASIS
Law

Job Details

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years! It's an outstanding legacy of innovation that's fueled by phenomenal technology-and outstanding people! As part of NVIDIA's applied AI team, you will have the opportunity to lead a team at the intersection of research, engineering, and product development, transforming innovative ideas and research breakthroughs into real-world solutions. If you're enthusiastic about guiding top teams in brand new technologies crafting generative AI, this role presents a prime chance for innovation.

What You Will Be Doing:
  • 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.

What We Need to See:
  • 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.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a visionary and supportive leader who thrives in a fast-paced, mission-driven environment? Come join our applied AI engineering team and help us shape the future of chip design.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 425,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 9, 2025.

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.
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