Solution Architect
NVIDIA
Solution Architect
NVIDIA
Designs the chips and software that power AI
NVIDIA’s Munich Executive Briefing Center (EBC) is part of a global network that provides an exclusive world class experience to our guests through demos served by experts, to discover how artificial intelligence and accelerated computing is transforming every industry. It is also a venue where our guests can engage with NVIDIA executives and thought leaders to gain insights on how to innovate. We provide thought-provoking conversations and opportunities to connect globally with the leading innovators and talent in GPU-ignited modern AI, the next era of computing.
At the EBC, we offer the tools and technology to continuously collaborate, learn, develop, partner, and grow. Our EBC teams manage unparalleled end-to-end experiences and demos customized to the goals and business objectives of our guests: customized agendas, high-quality demos, personalized presentations from NVIDIA leadership, specialists, and experts.
We are looking for a customer-facing solution architect to be part of the EBC team in Munich. The candidate must have a combination of technical knowledge, communication skills, and the ability to convey complex information in a clear and engaging manner.
What you'll be doing:
What we need to see:
Ways to stand out from the crowd:
NVIDIA is one of the technology industry's most desirable employers. If you're a creative person with a genuine passion for AI and Accelerated Computing, we want to hear from you. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We encourage diversity in candidates’ profiles. If you think you have the relevant skills and experience for this job, we encourage you to apply even if you lack some of the requirements listed above.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.
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