Jobs / Canada / Tenstorrent USA INC
Technical Program Manager, Platform & Runtime Engineering
Tenstorrent USA INC · 🇨🇦 Austin, Texas, United States; Santa Clara, California, United States; Toronto, Ontario, Canada
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereNo government sponsor record covers this employer in this country.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeCanada has no single salary bar: the employer usually needs a positive LMIA. Pay at or above the provincial median wage + 20% (e.g. C$36.92/h in Ontario) puts it in the high-wage stream. Source: https://www.canada.ca/en/employment-social-development/services/foreign-workers/median-wage.html, rules effective 2026-07-17.
- Confirmed live todayWhen a source last listed this job as open.
Canada: Express Entry no longer awards ranking points for job offers (since 25 Mar 2025); a job offer still counts toward Federal Skilled Worker eligibility.
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Why not apply?
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
SponsorApply flags time-wasters so your applications go where they can land. These come from the posting's own wording — read the original listing to confirm. See better-fit alternatives →
Sponsor Radar — Tenstorrent USA INC
No government sponsor record covers this employer in this country.
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Tenstorrent USA INC →
About the role
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 s