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

Key technologies and capabilities for this role

LLMsAgentic AIFine-tuning LLMsRetrieval AlgorithmsGeneration AlgorithmsMulti-modal DialogueAI AgentsEnterprise IntegrationML Systems

Questions & Answers

Common questions about this position

What is the base salary range for this position?

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

Is this a remote position or does it require office work?

This information is not specified in the job description.

What are the key skills and experience required for this role?

Candidates need a Master’s or PhD in a relevant field, 12+ years of industry experience with 5+ in technical leadership, proven experience managing ML/AI teams including LLMs and RAG pipelines, and strong skills in Python, data structures, and system design.

What is the company culture like at NVIDIA for this team?

NVIDIA fosters a collaborative, inclusive, and high-performance team culture in a fast-paced, mission-driven environment with forward-thinking and hardworking people.

What makes a strong candidate for this Senior Software Manager role?

A strong candidate is a proactive, hands-on leader with leadership experience, mentoring skills, demonstrated success in delivering production-grade AI applications, and the ability to balance strategic thinking with technical depth.

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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