Роль предполагает глубокую работу с инженерными командами в быстроразвивающейся сфере AI-железа, но диапазон $100k-$500k очень широк и включает базовую и переменную части, поэтому реальный уровень предложения сложно оценить.
Кликните для подробной информации
Разброс оплатыЭкспортные ограниченияAI-железоПонятные задачиОбучение на практике
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Technical Program Manager, Platform & Runtime Engineering (AI): Driving complex cross-functional initiatives for high-performance AI platforms, spanning runtime systems, device drivers, deployment, observability, hardware enablement, and large-scale compute clusters with an accent on reliability, scalability, and hardware/software integration. Focus on translating ambiguous engineering problems into execution plans, coordinating dependencies across multidisciplinary teams, and improving engineering workflows through telemetry, dashboards, automation, and AI-powered tools.
Location: Hybrid, based in Santa Clara, California; Austin, Texas; or Toronto, Ontario, Canada
Compensation: $100,000–$500,000, including base and variable compensation targets.
Company
Tenstorrent builds high-performance AI hardware, RISC-V CPUs, and the software systems that enable reliable, scalable AI platforms.
What you will do
Drive end-to-end execution of complex platform engineering initiatives from problem definition through delivery.
Lead reliability and scalability initiatives for AI systems, including fleet-scale deployment and cluster recovery.
Manage hardware/software integration and resolve recurring system issues.
Define execution plans, milestones, success metrics, and reporting mechanisms.
Improve engineering workflows through technical problem-solving, telemetry, dashboards, automation, and AI-assisted tools.
Requirements
Experience in software engineering, systems engineering, or technical program management within a complex engineering environment.
Ability to understand software architecture, system dependencies, and hardware/software interactions.
Experience driving ambiguous, cross-functional initiatives involving multiple engineering teams and evolving requirements.
Strong data-driven problem-solving, risk identification, investigation, and resolution skills.
Comfort with code, automation, dashboards, and AI-powered tools for improving engineering workflows.
Ability to work in a hybrid arrangement from Santa Clara, Austin, or Toronto.
Nice to have
Experience with runtime systems, device drivers, platform software, firmware, observability, or AI compute clusters.
Experience supporting new hardware readiness and customer platform requirements.
Culture & Benefits
Collaborative environment focused on curiosity and solving difficult technical problems.
Opportunity to work across software, firmware, hardware, systems, and architecture disciplines.
Competitive compensation and benefits package.
Offers are aligned with the candidate's assessed experience level.
Employment is contingent on eligibility to access U.S. export-controlled technology.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →