NVIDIA Corporation

Senior Solutions Architect, AI Hyperscalers

NVIDIA Corporation$184K — $356K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Minimum of a BS/MS in Computer Science, Electrical Engineering, or equivalent experience.
  • 8+ years of engineering experience in AI/ML-focused projects or enterprise-grade solutions.
  • Proven knowledge of Linux for AI/ML workload optimization.
  • Strong understanding of data science and machine learning infrastructure related to software and hardware.
  • Professional communication skills tailored for various technical audiences.
  • Excellent follow-up, interpersonal skills, and a passion for problem-solving.
  • Proficient in Python, including scripting and custom tool development.

Responsibilities

  • Serve as the primary contact for NVIDIA products within hyperscale accounts and cloud providers.
  • Collaborate with engineering teams to secure design wins and support throughout product lifecycle.
  • Act as a trusted advisor by understanding customer environments and translating insights into product solutions.
  • Enhance customer value from NVIDIA technology and provide actionable feedback for product improvement.
  • Facilitate timely resolution of customer issues and proactively communicate to mitigate risks.
  • Lead workshops and demos to showcase potential of NVIDIA's AI/ML capabilities.
  • Guide customers on scalable AI model deployment processes and inference optimization.

Benefits

  • Equity eligibility.
  • Comprehensive benefits package.
Full Job Description
NVIDIA is searching for an AI/ML Solutions Architect focusing on Hyperscale customers and Cloud Service Providers. Your primary responsibilities will be to lead software customer technical engagement for AI training, inference and infrastructure being deployed at vast scale. You will work across multiple organizations within NVIDIA as well as at the customer to ensure successful and trouble-free deployments. If you would you like to partner with a large company to build automation and management to create a robust large scale artificial intelligence infrastructure and are interested in the optimization and characterization of customer specific AI models and pipelines - you should apply!

What you'll be doing:
  • As a key technical member of a focused account team, you will serve as the main point of contact for NVIDIA products, enabling internet giants and cloud providers to have an innovative AI/ML software infrastructure.
  • Work directly with best-in-class engineering teams to secure design wins, address challenges, bring solutions to production, and support them throughout their lifecycle.
  • Become a trusted advisor to your customer by understanding their environment, constraints, and long-term strategy. Translate these insights into product requirements and innovative solutions.
  • Help your customer enhance the value of NVIDIA technology, and provide feedback to NVIDIA for future product improvements.
  • Facilitate the resolution of customer issues, offering timely and proactive communications to mitigate risks.
  • Lead workshops, demos, and proof-of-concepts to showcase NVIDIA's AI/ML capabilities.
  • Guide customers on standard processes for scalable AI model deployment and inference optimization.


What we need to see:
  • Minimum of a BS/MS in Computer Science, Electrical Engineering, or equivalent experience.
  • 8+ years of engineering experience with a proven track record in AI/ML-focused projects or enterprise-grade solutions.
  • Proven understanding of Linux, including solving, optimization, and customization for AI/ML workloads.
  • Strong understanding of data science and machine learning infrastructure-software and hardware.
  • Professional-level communication skills, including the ability to tailor messages for varying technical audiences and maintain composure in high-pressure situations.
  • Excellent follow-up and interpersonal skills, with a true passion for problem-solving.
  • Proficient in Python, with the ability to develop scripts and build custom tools. Experience with parallel programming or GPU acceleration (e.g., CUDA) is helpful.
  • Shown eagerness to learn and apply new technologies.


Ways to stand out from the crowd:
  • Experience with Chatbots, RAG pipelines, vector databases, and distributed training or inference workloads.
  • Experience or background in HPC (High Performance Computing) environments for AI or ML applications.
  • Familiarity with multi-node GPU clusters and performance tuning for large-scale AI workloads.
  • Experience developing in cloud and/or virtualized environments, containerized solutions, with knowledge of Docker, Kubernetes
  • Background with common deep learning frameworks such as PyTorch or JAX.


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 for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 17, 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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