обновлено 10 дней назад
Staff Field Application Engineer (AI)
100 000 - 500 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Field Application Engineer (AI): Driving customer adoption of AI products and solutions across North America with an accent on machine learning frameworks, custom silicon, and enterprise deployment. Focus on solving customer AI challenges, explaining complex technical concepts, and shaping product enhancements through field insight.
Location: Remote within North America, with preference for candidates near Santa Clara, California; Boston, Massachusetts; or Toronto, Ontario.
Compensation: $100,000–$500,000, including base and variable compensation targets.
Company
Tenstorrent develops AI computing platforms combining software models, compilers, networking, semiconductors, and high-performance RISC-V CPUs.
What you will do
- Work with enterprise customers to understand technical challenges and deliver effective AI solutions.
- Collaborate with sales teams through customer meetings, presentations, and technical workshops.
- Explain complex AI and hardware concepts to researchers, engineers, executives, and other stakeholders.
- Partner with sales operations and product teams to communicate customer feedback.
- Help shape product features, roadmaps, developer experiences, and future platform enhancements.
- Explore AI performance on custom silicon and support scalable AI pipeline deployments.
Requirements
- 5+ years of relevant technical enterprise experience, such as Sales Engineering, Solutions Engineering, or Technical Account Management.
- Strong customer-facing communication and problem-solving skills.
- Expertise in machine learning, deep learning, natural language processing, computer vision, and generative AI.
- Experience with PyTorch or TensorFlow.
- Experience with embedded systems, FPGA architecture, or AI accelerators.
- Understanding of data center and server architecture, deployment, thermal and power considerations, and infrastructure management.
Nice to have
- Experience fine-tuning LLMs, optimizing vision models, or building AI pipelines that run at scale.
- Background as a field engineer, solutions architect, or technical specialist supporting production systems.
Culture & Benefits
- Work alongside teams building AI hardware, software, and platform technologies from the ground up.
- Collaborative environment focused on curiosity and solving complex technical problems.
- Competitive compensation package and benefits.
- Employment is subject to eligibility to access U.S. export-controlled technology.
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