Job Description

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 GB200, MGX and DGX Grace & Hopper platforms) 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 experienced practitioners who are inspired to bring innovation and build transformative products.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Electrical Engineering, or related field.
• Up to 5 years in software, hardware, engineering, including platforms and distributed systems.
• At least one year of product lifecycle experience.
• Strong programming and problem solving skills.
• Strong graduate level computer science foundations.

Preferred Qualifications:

• Master's or PhD in a relevant field.
• Experience in building systems & systems SW, AI frameworks, and applied AI is a big plus.
• Solid understanding of or experience with Kubernetes and container orchestration platforms.
• Understanding of or experience with GPU systems and high-performance computing environments.
• Understanding of or experience with AI developer frameworks, tools, and automation systems.

Role: Be a key member of the infrastructure team responsible for building foundational software on top of GPU systems supporting AI workloads (training, fine-tuning and serving). Own and develop chunks of the new AI infrastructure SW with a focus on Kubernetes and GPU systems. Drive innovation in systems software architecture and automation for maximizing resource utilization. As a Software Engineer responsible for important engineering tasks, work with Staff Engineers, product management and program management to drive execution towards commercialization.

Responsibilities:

• Develop and build systems software for supporting AI workloads on large-scale GPU systems.
• Contribute to the delivery of control plane for workloads including scheduling and orchestration. Contribute to the delivery of management plane for underlying platforms.
• Help develop northbound APIs for customer portal to interact with the infrastructure.
• Research new methods to improve performance and developer experience, including AI automation, observability and optimization of AI frameworks.
• Attract and help build engineering talent.
• Role model and foster a culture of humility and innovation for product delivery.

Salary: The base salary for this position ranges from ($120,000-$180,000), with additional attractive biannual bonus and benefits.

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