Staff Field Application Engineer, Customer Success
Tenstorrent5 months ago
Base Salary
$100k - $500k/yr
Responsibilities
- Work directly with enterprise customers in meetings, presentations, and workshops to understand technical challenges and provide effective solutions.
- Collaborate with sales teams to drive adoption of Tenstorrent products and solutions.
- Partner with sales operations and product teams to communicate customer feedback and shape product enhancements and roadmaps.
- Help developers optimize AI performance on Tenstorrent custom silicon, including fine-tuning LLMs, optimizing vision models, and building scalable AI pipelines.
Requirements
- At least 5 years of relevant customer-facing technical enterprise experience, such as Sales Engineer, Solutions Engineer, or Technical Account Manager.
- Expertise in AI technologies and frameworks, including machine learning, deep learning, natural language processing, computer vision, PyTorch, or TensorFlow.
- Experience with embedded systems, FPGA architecture, or AI accelerators.
- Familiarity with hardware/software co-optimization for efficient edge inference.
- Good understanding of data center and server architecture, deployment, thermal and power considerations, and infrastructure management.
- Strong customer-facing communication skills and the ability to explain complex technical concepts to non-technical stakeholders.
- Ability to meet export-control eligibility requirements for access to U.S.-controlled technology.
Benefits
- Hybrid role based in Santa Clara, California
- Competitive compensation package and benefits
- Employment is contingent on eligibility to access U.S. export-controlled technology
Tech Stack
PyTorchTensorFlow
Categories
Solutions Engineering
About Tenstorrent
Tenstorrent builds AI compute hardware and RISC‑V CPU technology for companies developing training and inference workloads in data centers and at the edge. The business sells accelerator cards and systems with a full software stack, and licenses RISC‑V CPU IP. Founded in 2016 and headquartered in Toronto, it is privately held and led by semiconductor architect Jim Keller.