Field Application Engineer – AI Software, Hardware

🔥 0 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Application Engineer

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Tenstorrent Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🏭 Manufacturing

💼 Consulting

🤖 Artificial Intelligence

Manufacturing • Consulting • Artificial Intelligence

Tenstorrent is a cutting-edge technology company based in Santa Clara, CA, specializing in AI semiconductors and computing solutions. They have developed advanced products like the TT-QuietBox, a liquid-cooled workstation designed for AI model development, and the Tenstorrent Galaxy, a high-performance AI compute server. Recently, Tenstorrent secured over $693M in Series D funding to enhance its AI chip capabilities and challenge market leaders in the AI data center sector.

📋 Description

• Collaborate closely with the sales team and enterprise customers to drive adoption of Tenstorrent’s AI products and solutions • Work directly with customers in meetings, presentations, and workshops to understand technical challenges and provide effective solutions • Partner with sales operations and product teams to provide customer feedback and help shape product enhancements • Explore and push the boundaries of AI performance on custom silicon • Help developers optimize AI applications • Fine-tune LLMs, optimize vision models, and build AI pipelines that run at scale

🎯 Requirements

• 5+ years of relevant technical, enterprise experience, such as Sales Engineer, Solutions Engineer, or Technical Account Manager • Strong customer-facing skills • Proven expertise in AI technologies and frameworks, including machine learning, deep learning, natural language processing (NLP), computer vision, PyTorch, or TensorFlow • Experience with embedded systems, FPGA Architecture, or AI accelerators • Good understanding of data center, server architecture and deployment, thermal/power, and infrastructure management • Excellent communication skills to convey complex technical concepts to non-technical stakeholders • Eligibility to access U.S. export-controlled technology, including meeting applicable citizenship/permanent residency or export-license requirements

🏖️ Benefits

• Highly competitive compensation package • Benefits

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