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Technical Program Manager (Platform & Runtime Engineering)

Tenstorrent

Skills

Required

  • software architecture
  • system dependencies
  • hardware/software interactions
  • program management
  • automation
  • dashboards
  • AI-powered
  • Data-driven
  • investigating issues

Preferred

  • technical planning
  • validation
  • Coordinate across runtime
  • observability
  • AI systems

Join Tenstorrent as a Technical Program Manager in our Platform Gen organization. In this role, you will drive complex, cross-functional engineering initiatives that impact the reliability and performance of our AI platforms. You will work closely with software, hardware, systems, and architecture teams to identify technical challenges, manage dependencies, and develop clear execution plans. This is a technical role that requires a strong understanding of software architecture, system dependencies, and hardware/software interactions.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting

Responsibilities

  • Drive end-to-end execution of complex platform engineering initiatives, from problem definition and technical planning through implementation, validation, and delivery.
  • Coordinate across runtime, device drivers, deployment, observability, debug tools, hardware, and architecture teams to manage dependencies and unblock engineering progress.
  • Lead reliability and scalability initiatives for AI systems, including fleet-scale deployment, cluster recovery, hardware/software integration, and resolution of recurring system issues.

Requirements

  • Technically grounded, with experience in software engineering, systems engineering, or technical program management in a complex engineering environment
  • Able to understand software architecture, system dependencies, and hardware/software interactions, and translate technical challenges into actionable plans
  • Hands-on and resourceful, with strong communication skills and an interest in using code, automation, dashboards, and AI-powered tools to improve engineering workflows
  • Data-driven and proactive about identifying risks, investigating issues, and driving problems to resolution
  • Comfortable driving ambiguous, cross-functional initiatives involving multiple engineering teams, competing priorities, and evolving requirements

Pay

USD 100,000 - 500,000