NVIDIA Corporation

Senior AI Solutions Architect

NVIDIA Corporation$152K — $287K *
US-AnywhereRemote in Santa Clara, CA
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • MS/PhD in Machine Learning, Computational Science, Physics or related field, or equivalent experience
  • 4+ years of experience in AI, ML, DL, NLP, and/or Generative AI
  • Familiarity with accelerated computing platforms and GPU-based distributed systems
  • Proficient in algorithm programming using Python and C/C++
  • Development experience with major AI frameworks like PyTorch and Tensorflow
  • Knowledge of containers, numerical libraries, modular software design, and version control (GitHub)
  • Experience in designing and implementing complex AI/ML solutions for customers

Responsibilities

  • Support Business Development and Sales teams, collaborating with Industry leads to enhance developer ecosystem
  • Work directly with developers and customers in a hands-on, client-facing role
  • Assist developers in integrating NVIDIA libraries and frameworks into AI/data platforms
  • Analyze and optimize application architectures for enhanced performance
  • Provide insights and collaborate with internal engineering, product, and research teams
  • Conduct trainings, hackathons, and demos showcasing NVIDIA solutions

Benefits

  • Equity options as part of the compensation package
  • Inclusive working environment with a focus on collaboration and teamwork
  • Opportunities for professional development through workshops and training events
  • Access to cutting-edge technology and solutions in the AI space
Full Job Description
We are looking for Solution Architects with deep expertise in AI solutions and scalable data center infrastructure to drive the build and efficient use of innovative compute platforms. In this role, you will be a trusted technical advisor to our developers and customers. You will be responsible for embedding NVIDIA software into customer architectures and workflows, you will play a direct role in improving application performance, increasing developer productivity, and establishing the technical foundation required for next-generation AI systems. What you'll be doing:
  • Support Business Development and Sales teams as part of a Team of 4, partnering with Industry Business leads, Account Managers, and Developer Relations managers to drive our developers' ecosystem success.
  • Work directly with developers and customers in a customer-facing setting
  • Support developers in adopting NVIDIA libraries and software frameworks as the foundation for modern AI and data platforms.
  • Analyze application architectures and find opportunities for acceleration.
  • Provide feedback and collaborate with engineering, product and research teams.
  • Deliver trainings, hackathons and technical demonstrations on NVIDIA solutions and platforms
What we need to see:
  • MS/PhD degree in Machine Learning, Computational Science, Physics or related technical field (or equivalent experience).
  • 4+ years of experience in AI, ML, DL, NLP, and/or Generative AI.
  • Familiarity with accelerated computing platforms and GPU-based distributed systems.
  • Experience in algorithm programming using languages like Python and C/C++.
  • Development experience using major AI frameworks (e.g., PyTorch, Tensorflow, and similar tools)
  • Familiarity with containers, numerical libraries, modular software design, version control, GitHub
  • Experience designing, prototyping, and building complex AI/ML-based solutions for customers.
  • Able to reason across components such as data pipelines, models, compute, networking, and orchestration.
  • Solid written and oral communications skills and familiarity with collaborative environments.
  • Team players, can learn, react and adapt quickly with an attitude to work for a fast-paced environment.
Ways to stand out from the crowd:
  • Development experience with NVIDIA software libraries and GPUs.
  • Experience with Kubernetes, distributed training, and large-scale inference.
  • Experience supporting or using PCIe accelerators such as GPUs, FPGAs, DSPs from evaluation to production stages.
  • Familiarity with embedded domain-specific languages (EDSL) like CUDA, OneAPI, OpenCL, or HDL.
#NALASAHiring Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 20, 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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