Used Tools & Technologies
Not specified
Required Skills & Competences ?
Kubernetes @ 5 Linux @ 5 Distributed Systems @ 5 Leadership @ 3 Communication @ 3 Technical Leadership @ 3 Cloud Computing @ 5 GPU @ 3Details
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 are pioneering the next era of AI, powering intelligent machines for industries worldwide. As a member of the NVIDIA team, you will join a supportive group dedicated to innovation and making a meaningful impact.
In this Solutions Architect role you will develop cutting-edge solutions and collaborate with industry leaders, helping shape the future of AI and accelerated computing.
Responsibilities
- Lead interactive training sessions for NVIDIA Partners (NPN), OEMs, and internal teams at headquarters, with emphasis on AI Factory and Mission Control technologies.
 - Spearhead customer Proof of Concepts (PoCs) and integrations, showcasing proficiency in Kubernetes, Linux, cloud computing, and distributed systems.
 - Build hands-on labs and workshops for data scientists and researchers, and present these at conferences and customer events.
 - Lead in-person Executive Briefing Center (EBC) sessions around Run:ai, Mission Control, and AI Factories; explain value for different customer workloads and use cases.
 - Drive customer success through complex solution implementation and technical enablement.
 
Requirements
- 8+ years of professional 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 implementing complex solutions and driving customer success.
 - Outstanding communication and collaboration skills, with the ability to lead training sessions and executive briefings.
 - Ambitious, innovative attitude with a passion for advancing technology.
 
Ways to stand out:
- CKA (Certified Kubernetes Administrator) or CKAD (Certified Kubernetes Application Developer) certification.
 - Examples of projects involving GPU workloads on Kubernetes platforms.
 - Recordings of technical talks presented at conferences, industry meetups, or training events.
 
Benefits
- Competitive base salary (see range below) determined by location, experience, and comparable roles.
 - Eligibility for equity and a comprehensive benefits package.
 - Opportunity to work at a leading company in AI and accelerated computing, with substantial customer-facing and technical leadership responsibilities.
 
Compensation & Application
- Base salary range: 184,000 USD - 287,500 USD (final base salary will be determined based on location, experience, and internal pay equity).
 - You will also be eligible for equity and benefits.
 - Applications accepted at least until October 17, 2025.
 
NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. We do not discriminate on the basis of any legally protected characteristic.