Cloud Native Solutions Architect

Reposted Yesterday
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Santa Clara, CA
In-Office
184K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Software Solutions Architect will lead training sessions, spearhead customer PoCs, and build labs/workshops while collaborating on advanced AI technologies.
Summary Generated by Built In

NVIDIA has been at the forefront of computer graphics, gaming, and accelerated computing for over 25 years, driven by groundbreaking technology and exceptional people. We’re pioneering the next era of AI, powering intelligent machines for industries worldwide. As an NVIDIAN, you’ll join a supportive team dedicated to innovation and making a meaningful impact. In this Solutions Architect role, you’ll develop cutting-edge solutions and collaborate with industry leaders. Join us to help shape the future and be part of something truly exceptional.
 

What you'll be doing:

  • Leading interactive training sessions for NVIDIA Partners (NPN), OEMs, and internal teams at our headquarters, with emphasis on AI Factory and Mission Control technologies.

  • Spearheading customer Proof of Concepts (PoCs) and integrations, showcasing your proficiency in Kubernetes, Linux, cloud computing, and distributed systems.

  • Building hands-on labs and workshops for data scientists and researchers, and participating in conferences to present these to customers and partners.

  • Leading in-person Executive Briefing Center (EBC) sessions around Run:ai, Mission Control, and AI Factories, explaining the value for different customer workloads and use cases.

What we need to see:

  • 8+ years of experience

  • Bachelor’s degree or similar background in Computer Science, Engineering, or a related area (or equivalent experience); A Master’s degree is desirable.

  • Proven proficiency in Kubernetes, Linux, cloud computing, and distributed systems.

  • Strong track record of successfully implementing complex solutions and driving customer success.

  • Outstanding communication and collaboration skills, with the ability to lead training sessions and briefings.

  • Ambitious and innovative attitude, with a passion for pushing the boundaries of technology.

Ways to stand out from the crowd:

  • Possess CKA (Certified Kubernetes Administrator) or CKAD (Certified Kubernetes Application Developer) certification.

  • Share examples of projects involving GPU workloads on Kubernetes platforms.

  • Provide recordings of technical talks presented at conferences, industry meetups, or training events.

Come aboard and become a valuable member of a team that isn't just competing but setting the pace in AI and computing. Your skills and commitment will play a crucial role in shaping the future and securing our ongoing triumph!

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ 

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 January 13, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

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.

Top Skills

Cloud Computing
Distributed Systems
Kubernetes
Linux
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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