Solutions Architect Manager, DGX Cloud
📋 Role Overview & Responsibilities
Do you want to be part of the team that brings Artificial Intelligence (AI) emerging technology to the field? We are looking for hardworking Solution Architect (SA) Manager to join the NVIDIA AI Enterprise (NVAIE) SA Segment Team. The mission of the NVAIE Segment team is to guide and enable the successful adoption at scale of DGX Cloud and NVIDIA AI Enterprise Software in production.
NVIDIA DGX Cloud is an AI platform for enterprise developers, optimized for the demands of generative AI. The DGX Cloud SA team is dedicated to shaping the future of DGX Cloud by actively gathering and incorporating customer feedback and product requirements. Our team will help optimize the onboarding process for DGX Cloud customers, ensuring fast time to insights and exceptional experience. Additionally, we will collaborate with internal teams to scale expertise and knowledge through training and the creation of repeatable guides. Our focus on building demos, qualifications, and assets will streamline the pre-sales process, ultimately increasing sales and adoption of DGX Cloud .
What You’ll Be Doing
Work as a player-coach to drive NVIDIA technologies at strategic accounts and wider SAE organization, fostering activities that drive revenue with customers and partners. Grow your team by attracting and retaining top technical talent into the SAE organization.
Build a team of solution architects to drive NVIDIA solutions, encouraging a “Start with a Demo” culture, developing repeatable Engagement Processes, identifying and nurturing champions, and sharing visibility of opportunities.Accelerate customer onboarding and time to insights with DGX CloudScale knowledge, reach, and opportunities by building and educating vertical teams and communities on DGX Cloud.Provide technical education and facilitate field product feedback to improve DGX Cloud.Enable successful first-time integration and deployment of NVAIE Emerging SW products with DGX Cloud.
What We Need To See
Strong foundational expertise, from a BS, MS, or Ph.D. degree in Engineering, Mathematics, Physics, Computer Science, Data Science, or similar or equivalent experience.Proven experience in technical leadership, strong understanding of NVIDIA technologies, and success in developing strategic accounts.Excellent communication and interpersonal skills, and ability to attract, develop, and retain top technical talent.4+ years of technical leadership or management experience and 8+ years of overall experience.
Ways To Stand Out From The Crowd
Strong coding and debugging skills, and demonstrated expertise in one or more of the following areas: Machine Learning, Deep Learning, Slurm, Kubernetes, Storage, Networking, InfiniBand, Ethernet, MLOps, LLMOps, and other high-performance AI cluster solutions.Hands-on experience with DGX Cloud, NVIDIA AI Enterprise AI Software, Base Command Manager, NEMO and NVIDIA Inference Microservices.Experience with Infrastructure as Code tools such as Ansible, Terraform or AWS CloudFormation for automating consistent configuration of infrastructure."Experience with Tier-1 Clouds and cloud-native softwareKnowledge of NVAIE Emerging and Mature SW products, experience with integration and deployment of software products in enterprise environments, and experience working with SA teams in vertical industries and partner organizations.
The base salary range is 220,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits . NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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This position is located in Santa Clara, CA with potential relocation and sponsorship assistance depending on candidate qualifications.
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