NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are looking for an experienced Software Engineering Manager to lead the development of our core libraries for Agentic Applications. Are you excited by the prospect of building a team working on foundational, brand-new technology that powers the next generation of autonomous systems? Have you ever dreamed of elevating engineering practices to enable the safe and scalable deployment of agentic systems? As a global leader in AI and deep learning, NVIDIA is redefining industries and our work in agentic computing is at the forefront of this revolution. Join us in building the scalable agentic capabilities, reusable building blocks, and high-quality libraries that will accelerate developer productivity, ensure agent quality, and provide critical acceleration and optimization for highly performant and efficient agents. Work directly with a community of creative engineers and collaborate on projects that push the boundaries of what's possible in the world of autonomous agents!
What you'll be doing:
- Track and understand evolving agent development patterns across NVIDIA and the broader ecosystem, maintaining current knowledge of both research and commercial products.
- Lead a team which identifies gaps and friction in current agent architectures, and translate insights into agentic tools that boosts developer velocity and agent quality—backed by evaluations, benchmarking, and feedback loops.
- Providing technical guidance and mentorship to team members, encouraging a collaborative and inclusive environment.
- Coordinating the entire development lifecycle, from ideation to deployment, ensuring flawless execution.
- Integrate high-performance data pipelines, RAG systems, vector databases, and GPU-optimized training and inference workflows to deliver best-in-class, high-performance agentic applications.
- Partnering with product management and other collaborators to determine project requirements and priorities.
- Lead and grow a high-performing team along with a multi-functional community to standardize procedures and scale adoption of our agent libraries.
What we need to see:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Applied Math, or a related field, or equivalent experience.
- A minimum of 7 overall years of experience, including 3+ years in team management, with strong interpersonal and leadership skills.
- Proven track record in designing and deploying modern agent architectures and open-source frameworks, with a history of translating proof-of-concept initiatives into production-grade solutions driving measurable impact.
- Demonstrated strategic vision to translate the rapidly evolving AI domain into platform roadmaps and high-value technical outcomes.
- Exceptional communication and cross-functional leadership skills, with proven success collaborating with and contributing to the open-source community.
Ways to stand out from the crowd:
- Experience building evaluation/benchmarking systems for agent workflows (metrics, regression, feedback loops).
- Led a team that delivered reliable and scalable enterprise-grade agents deployed to customers or across an organization.
- Experience implementing enterprise-grade governance for agent systems (observability, monitoring, policy enforcement) in production autonomous workflows.
- Developed tools used by multiple teams to accelerate deployment of agents (SDKs, templates, reference apps, reusable building blocks).
- Proven track record of maintaining, creating, or leading major open-source libraries or developer tools.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Skills Required
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Applied Mathematics, a related field, or equivalent experience
- At least 7 years of overall professional experience
- At least 3 years of team management experience
- Strong interpersonal and leadership skills
- Experience designing and deploying modern agent architectures and open-source frameworks
- Track record translating proof-of-concept initiatives into production-grade solutions with measurable impact
- Strategic vision for translating the evolving AI domain into platform roadmaps and technical outcomes
- Exceptional communication and cross-functional leadership skills
- Success collaborating with and contributing to the open-source community
- Experience building evaluation and benchmarking systems for agent workflows
- Experience delivering reliable, scalable enterprise-grade agents to customers or across an organization
- Experience implementing enterprise-grade governance for agent systems, including observability, monitoring, and policy enforcement
- Experience developing SDKs, templates, reference applications, or reusable building blocks used by multiple teams
- Track record maintaining, creating, or leading major open-source libraries or developer tools
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
