SB Telecom America Corp. offers innovative technology solutions to drive business growth and success. As part of the SoftBank Group, we focus on AI, IoT, Security, and Digital Marketing to create new business values for our clients. Our digital marketing services cater to the Japanese market with bilingual experts in the U.S. and U.K.
About Softbank:
Softbank is making significant investments in infrastructure for AI. Softbank Corp. has recently established a new US center in Silicon Valley, focused on infrastructure software for AI and AI foundations for mobile networks. Our goals are to challenge the norms and create products making use of our SOTA infrastructure (like Nvidia MGX, DGX Grace & Hopper platforms, and beyond) and cloud-native software. These products are geared towards centralized AI data centers as well as distributed AI Radio Access Network (AI RAN) data centers. We are looking for expert practitioners who are inspired to bring innovation and build transformative products.
Minimum Qualifications:
Bachelor's degree in Computer Science, Electrical Engineering, or a related field.
10+ years of experience in technical program management, leading high-impact software infrastructure projects.
Strong experience in working with engineering teams on projects including platforms and distributed systems.
Experience collaborating closely with engineering and product teams on projects in systems, systems SW and infrastructure in general.
Preferred Qualifications:
Master's degree in a relevant field or equivalent practical experience.
Deep project management experience with Kubernetes, container orchestration, and cloud infrastructure.
Strong understanding of GPU systems and high-performance computing environments.
Experience managing projects on AI or machine learning workloads is a plus.
Familiarity with AI developer frameworks, tools, and automation systems.
Role:
As the Technical Program Manager for Infrastructure Software for AI, you will be the Directly Responsible Individual (DRI) for managing the engineering execution for AI compute infrastructure. You will steer a team of talented engineers to build the next generation of software systems that support AI workloads (training, fine-tuning, and inferencing). Your role will focus on the engineering execution process to manage GPU-based systems and Kubernetes infrastructure, ensuring scalability, performance, and efficiency. You will work closely with product management and cross-functional stakeholders to drive the commercialization of infrastructure products that power AI applications at scale.
Responsibilities:
Define engineering execution plans and sprints to realize the roadmap. Get acceptance from product, engineering and stakeholder leadership.
Own and ensure timely execution of roadmaps to meet the milestones. Work hand-in-hand with engineering and product leads to ensure consistent execution.
In collaboration with product management, ensure the roadmap is robust and agile (when necessary), making thoughtful and collaborative choices on (re)prioritization.
Provide regular updates to stakeholders on execution status and call out any major shifts.
Attract, develop, and inspire a talented team to ensure successful product delivery.
Role model and foster a culture of humility and innovation for product delivery.