Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub. Description and Requirements
We are looking for a skilled and forward-thinking Solution Architect to lead the adoption and integration of NVIDIA AI Enterprise (NVAIE) solutions. You will focus on deploying, optimizing, and managing NVIDIA AI Enterprise software, ensuring seamless integration with our infrastructure offerings to deliver cutting-edge AI/ML solutions.
What will be your key responsibilities?
Design and deploy AI architectures leveraging NVIDIA AI Enterprise software stack. Align AI solutions with Lenovo’s hardware and infrastructure offerings to meet customer needs. Develop scalable, reliable, and high-performance solutions to support various AI/ML workloads. Integrate NVIDIA AI Enterprise solutions with Lenovo’s compute, storage, and networking infrastructure. Optimize performance for key AI/ML workflows, including training, inference, and data processing. Provide technical guidance to customers and partners on deploying and managing NVIDIA AI Enterprise solutions on Lenovo platforms. Conduct workshops, training sessions, and support regions on proof-of-concept (POC) demonstrations to showcase solution capabilities. Develop and maintain comprehensive documentation, including deployment guides, architecture blueprints, and best practices. Establish standardized methodologies for integrating NVIDIA AI Enterprise into diverse environments. Advocate for NVIDIA AI Enterprise and Lenovo’s AI infrastructure in the industry through conferences, webinars, and blogsWhat will you bring?
Bachelor’s/ Master’s degree in Computer Science, Electrical Engineering, or a related field. At least 8 years of experience in solution architecture, enterprise IT, or AI/ML environments. Demonstrated success in deploying and optimizing NVIDIA AI Enterprise or similar platforms. Strong knowledge of NVIDIA AI Enterprise software, including its integration and deployment methodologies. Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or similar. Expertise in enterprise hardware and software, including servers, storage, and networking. Familiarity with virtualization platforms (e.g., VMware) and container orchestration tools (e.g., Kubernetes).Why Lenovo?
At Lenovo, we are committed to creating innovative technology solutions that empower businesses and people to thrive. Join us in shaping the future of AI infrastructure, where your expertise will directly impact the success of our customers and the growth of AI technologies. If you’re ready to help us build smarter solutions, we’d love to hear from you.
What do we offer you?
At Lenovo we are proud to be an equal opportunity company. This vacancy certainly applies for people with disabilities, too.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class. Additional Locations: * Germany - North Rhine-Westphalia - Essen * Germany - North Rhine-Westphalia - Essen * Germany * Germany - North Rhine-Westphalia * Germany - North Rhine-Westphalia - Essen , * Germany - North Rhine-Westphalia - Essen
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