NVIDIA Corporation

Senior Solutions Architect, Gen AI

NVIDIA Corporation$184K — $287K *
US-AnywhereRemote in California, US
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience.
  • 8+ years of hands-on experience in a technical AI role emphasizing Gen AI.
  • Proficient in model architectures and computational complexities.
  • Proven track record of deploying and optimizing LLM models for production inference.
  • Expertise in training and fine-tuning LLMs using TensorFlow, PyTorch, or Hugging Face Transformers.
  • Solid understanding of GPU cluster architecture with parallel processing capabilities.
  • Experience with basic DevOps tools such as Docker, Kubernetes, GitLab, Linux Command Line, Shell.
  • Excellent communication and teamwork skills for diverse audiences.

Responsibilities

  • Provide technical mentorship on Nvidia GenAI stack for partners and customers.
  • Build demonstrations and POCs to address critical customer business needs.
  • Educate customers on new NVIDIA GenAI technologies through workshops.
  • Prepare and deliver technical training presentations.
  • Create collateral focused on industry use-cases.
  • Collaborate with NVIDIA teams to secure design wins and gather feedback for product features.

Benefits

  • Eligible for equity and benefits.
  • Comprehensive health coverage options.
  • Opportunities for professional development and training.
  • Flexible work arrangements to support work-life balance.
Full Job Description
What You Will Be Doing:
  • Provide hands-on technical mentorship to partners and customers on Nvidia GenAI stack. Guide customers to develope and deploy Agentic AI workflows on our platforms, quantifying the benefits of our accelerated computing software and hardware.
  • Build demonstrations and POCs for solutions that address critical business needs of our customers. Help in draft requirements for missing features to unblock progress at customers/partners.
  • Educate customers on new NVIDIA GenAI technologies and platforms. Prepare and deliver technical training presentations and workshops.
  • Build collateral (notebook/ blog) applied to the industry use-cases.
  • Partner with NVIDIA engineering, product, sales teams to secure design wins at customers. Enable development and growth of NVIDIA product features through customer feedback and POC evaluations.


What We Need To See:
  • Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience.
  • 8+ years of hands-on experience in a technical AI role, with a strong emphasis on Gen AI.
  • Proficient in the latest and greatest model architectures and be able to articulate the computational complexities of each.
  • Proven track record of deploying and optimizing LLM models for inference in production environments using well known inferencing engines e.g., vLLM, TRT-LLM, SGLang, etc.
  • Expertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
  • Solid understanding of GPU cluster architecture and the ability to bring to bear parallel processing for accelerated model training and inference.
  • Experience with basic DevOps tools e.g., Docker, Kubernetes, GitLab, Linux Command Line, Shell, etc.
  • Excellent communication and teamwork skills with the ability to explain complex technical concepts to both technical and non-technical collaborators.
  • Experience leading workshops, training sessions, and presenting technical solutions to diverse audiences.


Ways To Stand Out From The Crowd:
  • Experience with Agentic AI frameworks, tools, and protocols e.g., LangChain, LangGraph, MCP.
  • Understand Multimodal LLMs, VLMs, etc.
  • Experience in deploying LLM models at scale on mainstream cloud providers (e.g., AWS, Azure, GCP).
  • Proven track record to profile and optimize inference latency and throughput, memory and I/O utilization.
  • Mathematical understanding of different parallelisation techniques in Gen AI


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 1, 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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