NVIDIA Corporation

Senior Solutions Architect, Agentic AI

NVIDIA Corporation$224K — $356K *
US-AnywhereRemote in Santa Clara, CA
Enterprise Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's, Master's, or Ph.D. in Engineering, Mathematics, Physics, Computer Science, Data Science, or equivalent experience
  • 12+ years of experience in Deep Learning and Machine Learning
  • Strong skills in software engineering with proficiency in Python, C/C++, and Linux
  • Experience with GPUs and deep learning frameworks like TensorFlow or PyTorch
  • Demonstrated ability to build advanced multi-agent systems using libraries like LangGraph, LlamaIndex, CrewAI
  • Effective multitasking and communication skills in collaborative settings

Responsibilities

  • Develop innovative AI applications using agentic frameworks for enterprise data
  • Create research assistants and multi-modal dialogue systems that enhance enterprise workflows
  • Engage with engineering teams to stay ahead of AI advancements and deliver solutions
  • Provide feedback on initial implementations to refine software products
  • Educate teams on NVIDIA AI software and promote community knowledge sharing

Benefits

  • Equity participation
  • Comprehensive benefits package
  • Access to advanced AI technologies and positioning at the forefront of the industry
  • Dynamic, collaborative work environment
  • Opportunity to influence software development and client success
Full Job Description
What you'll be doing:
  • The Agentic AI team mission is to deliver innovative and optimized AI agents using the latest techniques including Test Time Compute, Reinforcement Learning, inference optimization and model fine-tuning. We specialize on engineering new solutions to fit our customers needs by integrating their enterprise data sources into meaningful agentic applications.
  • You'll work with agentic frameworks to develop applications that retrieve and generate insights from enterprise data, including text, code, and images. Your focus will be on creating high-impact solutions such as deep research assistants, multi-modal dialogue systems, and task-specific agents that support a wide range of enterprise workflows. You'll be deeply engaged with engineering teams, stay ahead of the latest AI advancements, and apply strong technical judgment to everything you deliver.
  • Provide direct feedback from these first-time implementations to improve our software products and scale knowledge by educating vertical teams and building communities on NVIDIA AI software products!


What we need to see:
  • Strong foundational expertise, from a BS, MS, or Ph.D. degree in Engineering, Mathematics, Physics, Computer Science, Data Science, or similar (or equivalent experience).
  • 12+ years experience demonstrating an established track record in Deep Learning and Machine Learning. Strong software engineering and debugging skills, including experience with Python, C/C++, and Linux. Experience with GPUs as well as expertise in using deep learning frameworks such as TensorFlow or PyTorch.
  • Proficiency in rapid prototyping using Python with strong foundational knowledge of data structures, algorithms, and software engineering principles.
  • Experience with building advanced multi-agent systems, using libraries like LangGraph, LlamaIndex, CrewAI.
  • Ability to multitask effectively in a dynamic environment, as well as clear written and oral communications skills with the ability to effectively collaborate with executives and engineering teams.


Ways to stand out from the crowd:
  • Expertise in building evaluation harnesses, success metrics, automated testing pipelines, and guardrail frameworks to ensure agentic AI workflows are safe, reliable, and production-ready.
  • Skilled in fine-tuning and optimizing reasoning-focused LLMs and SLMs, including prompt engineering, quantization, and benchmarking.
  • Experience developing production-grade deployment patterns using Kubernetes/OpenShift, CI/CD automation, and secure cloud-native infrastructure.


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.

Applications for this job will be accepted at least until July 24, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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