Technical Program Manager, Platform & Runtime Engineering

Austin · Santa Clara · Toronto · USD 100,000-500,000 · Hybrid · Posted Oct 13, 2026

At a glance

As a Technical Program Manager within our Platform Gen organization, you’ll drive complex, cross-functional engineering initiatives spanning runtime systems, device drivers, deployment, observability, and hardware enablement.
This is a technical role for someone who can go beyond tracking timelines and coordinating meetings, working closely with software, hardware, systems, and architecture teams.
Our team’s work directly impacts the reliability and performance of Tenstorrent’s AI platforms, from individual accelerators to large-scale AI compute clusters.

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.
Establish execution plans, milestones, success metrics, and reporting mechanisms that help engineering teams identify risks and make informed decisions.
Improve engineering execution through technical problem-solving, telemetry, dashboards, automation, and AI-assisted workflows while supporting platform readiness for new hardware and customer 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.
Comfortable driving ambiguous, cross-functional initiatives involving multiple engineering teams, competing priorities, and evolving requirements.
Data-driven and proactive about identifying risks, investigating issues, and driving problems to resolution.
Hands-on and resourceful, with strong communication skills and an interest in using code, automation, dashboards, and AI-powered tools to improve engineering workflows.

This role is hybrid, based out of Santa Clara, CA; Austin, TX; or Toronto, Canada.