Senior Software Manager, Agentic AI at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

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

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

Skills

LLMs

Agentic AI

Fine-tuning LLMs

Retrieval Algorithms

Generation Algorithms

Multi-modal Dialogue

AI Agents

Enterprise Integration

ML Systems

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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