Field Application Engineer, AI Systems &… at Tenstorrent · Austin

Summary: Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. We are seeking a hands-on Hardware Field Application Engineer to support deployment, bring-up, validation, and optimization of Tenstorrent AI systems in real customer data center environments. Responsibilities: - Lead system bring-up, validation, and deployment of Tenstorrent AI hardware platforms in customer data centers, supporting installations from proof-of-concept through production scale-out - Troubleshoot and debug complex issues across hardware, firmware, Linux, networking, and infrastructure layers, driving resolution in partnership with internal engineering teams - Work with customers to design, validate, and optimize system architectures including memory, networking, storage, rack layout, power, cooling, and runtime environments for AI and HPC workloads - Serve as the primary technical point of contact during deployments and escalations, reproducing customer issues, managing technical risk, and providing structured feedback to improve product readiness and reliability - Create deployment documentation, runbooks, and debug playbooks, and train customer and internal teams to ensure scalable, repeatable, and efficient data center deployments Required Qualifications: - A systems-level engineer with strong debugging instincts and a bias for hands-on problem solving - Comfortable working across the stack — hardware, firmware, OS, drivers, networking, and workloads - Experienced working directly with customers in technical environments (data centers, labs, integration facilities) - Able to isolate root causes in complex multi-layer issues rather than treating symptoms - Clear communicator who can translate technical findings into actionable recommendations - Self-driven and comfortable operating independently in field environments - Excited to work with cutting-edge hardware and solve problems that don't yet have documentation - Lead system bring-up, validation, and deployment of Tenstorrent AI hardware platforms in customer data centers, supporting installations from proof-of-concept through production scale-out - Troubleshoot and debug complex issues across hardware, firmware, Linux, networking, and infrastructure layers, driving resolution in partnership with internal engineering teams - Work with customers to design, validate, and optimize system architectures including memory, networking, storage, rack layout, power, cooling, and runtime environments for AI and HPC workloads - Serve as the primary technical point of contact during deployments and escalations, reproducing customer issues, managing technical risk, and providing structured feedback to improve product readiness and reliability - Create deployment documentation, runbooks, and debug playbooks, and train customer and internal teams to ensure scalable, repeatable, and efficient data center deployments Required Skills: AI systems deployment, Hardware debugging, System architecture design Important Skills: Linux, Networking, Customer engagement Nice-to-Have Skills: Self-driven Benefits: Highly competitive compensation package and benefits