Skilltorch - Santa Clara, CA

posted 10 days ago

Full-time - Mid Level
Santa Clara, CA

About the position

The Staff Technical Program Manager will oversee the development of next-generation hardware systems at a leading technology company specializing in advanced semiconductor and AI technologies. This role is crucial for managing large-scale projects related to high-performance processors and AI/ML accelerators, ensuring successful delivery across multiple teams. The position offers a hybrid work environment and focuses on innovative hardware systems that are pivotal in the future of AI and machine learning.

Responsibilities

  • Lead cross-functional teams of hardware engineers, system architects, and external partners to ensure successful project execution.
  • Oversee the development and integration of next-gen processors, AI/ML accelerators, or similar hardware systems, ensuring design specifications align with project goals.
  • Collaborate closely with chip architects, RTL engineers, and system teams to manage design timelines, technical specifications, and deliverables.
  • Serve as the main point of contact for external stakeholders, providing status updates, tracking progress, and managing dependencies across teams.
  • Develop and maintain detailed project plans, ensuring milestones and schedules are met while coordinating resources effectively across multiple teams.
  • Manage relationships with external vendors, contractors, and design partners to ensure smooth collaboration and timely delivery of all project components.

Requirements

  • BS/MS/PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.
  • 5+ years of experience in technical program management, with a focus on hardware development, system design, or semiconductor industries.
  • Strong understanding of hardware development processes, including system architecture, chip development, and integration of complex components.
  • Experience working with hardware/software co-design teams, particularly in the context of AI/ML systems, accelerators, or high-performance computing.
  • Proven ability to manage complex schedules, dependencies, and project timelines across multiple teams and stakeholders.
  • Excellent communication skills, with the ability to collaborate effectively with both technical teams and non-technical stakeholders.
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