SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 100,000 - 500,000 / annual
Tenstorrent is building high-performance AI hardware and the software systems that enable it. As a Technical Program Manager within the Platform Gen organization, you will drive complex, cross-functional engineering initiatives spanning runtime systems, device drivers, deployment, observability, and hardware enablement.
This is a technical role requiring someone who goes beyond timeline tracking and meeting coordination. You will work closely with software, hardware, systems, and architecture teams to understand technical challenges, identify dependencies, drive solutions, and translate ambiguous engineering problems into clear execution plans. You should be comfortable engaging deeply with software and systems concepts, analyzing technical trade-offs, and using data to guide decisions.
Your work will directly impact the reliability and performance of Tenstorrent's AI platforms, from individual accelerators to large-scale AI compute clusters. Key responsibilities include:
- 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.
You will learn how runtime systems, device drivers, and platform software work together to enable reliable, high-performance AI accelerators at scale; how software, firmware, hardware, and observability systems integrate to deliver production-ready AI platforms; and how to lead technically complex initiatives across multidisciplinary engineering teams using data, automation, and AI-powered tools.
The role is hybrid, based out of Santa Clara, CA; Austin, TX; or Toronto, Canada. Tenstorrent welcomes candidates at various experience levels; during the interview process, candidates will be assessed for the appropriate level, and offers will align accordingly.
**Requirements:**
- Technically grounded, with experience in software engineering, systems engineering, or technical program management in a complex engineering environment.
- Ability 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.
