Solutions Architect - Cloud AI at NVIDIA

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Feb, 26

Salary

287500.0

Posted On

23 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Computing, AI, Machine Learning, Python, C, C++, Pytorch, TensorFlow, CUDA, Linux, Windows, Azure, AzureML, Networking, Infiniband

Industry

Computer Hardware Manufacturing

Description

We are excited to announce an opening for a Cloud Solution Architect at NVIDIA and are seeking a passionate individual with a strong interest in AI and machine learning! If you are enthusiastic about contributing to projects that push the boundaries of what is possible with cloud scale AI, we invite you to read on. What You'll Be Doing: Working as a key member of our cloud solutions team, you will be the go-to technical expert on NVIDIA's products, helping our clients architect and optimize GPU solutions for AI services. Collaborating directly with engineering teams to secure design wins, address challenges, usher projects into production, and offer support through the project's lifecycle. Acting as a trusted advisor to our clients, while developing reference architectures and best practices for running Microsoft AI workloads on NVIDIA infrastructure. What We Need To See: 4+ years of experience in cloud computing and/or large-scale AI systems. A BS in EE, CS, Math, or Physics, or equivalent experience. A proven understanding of cloud computing and large-scale computing systems. Proficiency in Python, C, or C++ and experience with AI frameworks like Pytorch or TensorFlow. Passion for machine learning and AI, and the drive to continually learn and apply new technologies. Excellent interpersonal skills, including the ability to explain complex technical topics to non-experts. Ways To Stand Out From The Crowd: Recent projects or contributions (for example, on GitHub) related to large language models and transformer architectures. Knowledge of Azure cloud and AzureML services. Experience with CUDA programming and optimization. Familiarity with NVIDIA networking technologies such as Infiniband. Proficiency in Linux, Windows Subsystem for Linux, and Windows. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 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 November 26, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

You will be the go-to technical expert on NVIDIA's products, helping clients architect and optimize GPU solutions for AI services. Collaborating with engineering teams to secure design wins and support projects through their lifecycle.