The Cisco Compute Technologist team is focused on the intersection of AI/ML and purpose-built platforms and solutions from Cisco. This is a highly technical team helping to steer AI/ML product platforms and solutions to meet the current and future needs of our customers. The Cisco Computer Technologist team acts as a liaison to the field, channel partners, and customers to ensure they understand Cisco's AI/ML product platform and solution capabilities and benefits. This team is also responsible for developing and delivering technical content and collateral, such as demo videos, training seminars, whitepapers, industry event presentations, and more.
Who you are You will work closely with peer Technical Marketing Engineers (TME), product managers, and engineering teams responsible for planning and delivering AI/ML-related platforms and solutions. In addition, you will work closely with the Cisco field and channel partner organizations to help drive adoption with customers. You will have experience in configuring AI/ML software stacks and hands-on practical experience with Generative AI and LLMs. You will have a natural curiosity and passion to learn key technologies, trends, use-cases, and topologies related to AI/ML.
What you'll do This is a highly technical role that requires a well-rounded understanding of AI/ML concepts, use-cases, and technologies. In this role, you will be an integral part of the technical team helping to steer AI/ML product platforms and solutions to meet the current and future needs of our customers. You will serve as a technical liaison to the field, channel partners, and customers to ensure they understand Cisco's AI/ML product platform and solution capabilities and benefits while in turn gathering valuable input on requirements and knowledge of how the industry is evolving. You will also be responsible for developing and delivering technical content and collateral, such as demo videos, training seminars, whitepapers, industry event presentations, and more.
Responsibilities include: Evangelize Cisco AI/ML portfolio value to customers and partnersDrive innovation in our Cisco AI/ML compute platforms as a technical advisor and customer advocate during the product development lifecycleBe a technical influencer within Cisco and externally in the industryContinuously learn and adapt as you keep pulse on customer challenges and evolving AI/ML use-cases and technologiesDeliver on technical white-papers, technical how-to guides, and presentations to customers and at Cisco events.Exhibit excellent communication and collaboration skills, working effectively with cross-functional teams.Minimum Qualifications 8+ years of experience as a technical engineer with configuration of data centers, networking, servers, and storage as well as delivering technical white papers, webinars, and product demonstrations2+ years of experience configuring AI/ML softwarePreferred Qualifications Knowledge of GPU accelerators as well as related software, tools, and topologiesKnowledge of high-speed, lossless Ethernet-based networking architectures, concepts, and components.Detailed understanding of key technologies, trends, use-cases, and topologies related to AI/ML.Knowledge of Cisco's portfolio and businessExperience working with internal and external stakeholders across the pre and post-sales processWhy Cisco? #WeAreCisco. We are all unique, but collectively we bring our talents to work as a team, to develop innovative technology and power a more inclusive, digital future for everyone. Nearly every internet connection around the world touches Cisco. We're the Internet's optimists. Our technology makes sure the data traveling at light speed across connections does so securely, yet it's not what we make but what we make happen which marks us out. We're helping those who work in the health service to connect with patients and each other; schools, colleges, and universities to teach in even the most challenging of times. We're helping businesses of all shapes and sizes to connect with their employees and customers in new ways, providing people with access to the digital skills they need and connecting the most remote parts of the world – whether through 5G, or otherwise.
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