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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.
You will also be eligible for equity and .
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