NVIDIA Corporation

Solutions Architect, AI and ML

NVIDIA Corporation$124K — $241K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years in Solutions Engineering or similar roles
  • 3+ years of Deep Learning and Machine Learning experience
  • BS/MS/PhD in Engineering or related field
  • Proven cloud computing deployment experience (AWS, GCP, Azure)
  • Familiarity with DevOps/ML Ops (Docker, Kubernetes)
  • Scripting capability in at least one language (Python)
  • Strong programming and debugging skills
  • Effective communication of technical concepts

Responsibilities

  • Develop and demonstrate solutions for NVIDIA's ML/DL and data science technologies with Cloud Service Providers
  • Build and deploy scalable AI/ML solutions using NVIDIA's AI software
  • Create custom PoCs addressing critical business needs utilizing NVIDIA tech
  • Collaborate with Sales and Developer Relations to identify new business opportunities
  • Prepare and present technical content and workshops on NVIDIA products
  • Conduct customer meetings for project roadmaps and new technology introductions
  • Establish technical relationships with customers to quickly resolve issues

Benefits

  • Equity options
  • Diverse work environment programs
  • Access to renowned technology and talent
  • Remote work flexibility with travel for onsite visits
Full Job Description
What you will be doing:
  • Working with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA's ML/DL and data science software and hardware technologies
  • Build and deploy AI/ML solutions at scale using NVIDIA's AI software on cloud-based GPU platforms.
  • Build custom PoCs for solution that address customer's critical business needs applying NVIDIA hardware and software technology
  • Partner with Sales Account Managers or Developer Relations Managers to identify and secure new business opportunities for NVIDIA products and solutions for ML/DL and other software solutions
  • Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.
  • Conduct regular technical customer meetings for project/product roadmap, feature discussions, and intro to new technologies. Establish close technical ties to the customer to facilitate rapid resolution of customer issues


What we need to see:
  • 3+ years of Solutions Engineering (or similar Sales Engineering roles) or equivalent experience
  • 3+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow or PyTorch, GPU, and CUDA experience extremely helpful.
  • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or other Engineering fields or equivalent experience.
  • Established track record of deploying solutions in cloud computing environments including AWS, GCP, or Azure
  • Knowledge of DevOps/ML Ops technologies such as Docker/containers, Kubernetes, data center deployments
  • Ability to use at least one scripting language (i.e., Python)
  • Good programming and debugging skills
  • Ability to communicate your ideas/code clearly through documents, presentation etc.


Ways to stand out from the crowd:
  • AWS, GCP or Azure Professional Solution Architect Certification.
  • Hands-on experience with NVIDIA GPUs and SDKs (e.g. CUDA, RAPIDS, Triton etc.)
  • System-level experience specifically GPU-based systems
  • Experience with Deep Learning at scale
  • Familiarity with parallel programming and distributed computing platforms


We make extensive use of conferencing tools, but occasional travel is required for local on-site visit to customers and industry events.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 14, 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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