Technical Program Manager, Platform & Runtime Engineering at Tenstorrent
- In Austin, TX.
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. 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. You’ll work closely with software, hardware, systems, and architecture teams to understand technical challenges, identify dependencies, drive solutions, and turn ambiguous engineering problems into clear execution plans. Our team’s work directly impacts the reliability and performance of Tenstorrent’s AI platforms, from individual accelerators to large-scale AI compute clusters. You’ll help improve system reliability, streamline deployment and debugging, accelerate software and hardware readiness, and ensure our platforms meet the needs of internal teams and external customers. This role is hybrid, based out of Santa Clara, CA; Austin, TX; or Toronto, Canada. 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. Who You Are 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. What We Need 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. What You Will Learn How runtime systems, device drivers, and platform software work together to enable reliable, high-performance AI accelerators and end-to-end AI systems at scale, from individual devices to distributed compute clusters. How software, firmware, hardware, and observability systems come together to deliver production-ready AI platforms. How to lead technically complex initiatives across multidisciplinary engineering teams. …