Staff Forward Deployed Engineer (AI)

TL;DR

Staff Forward Deployed Engineer (AI): Building and deploying AI inference service products for customers using Tenstorrent hardware with an accent on bridging the gap between customer needs and core engineering. Focus on optimizing the full inference stack, scaling Kubernetes clusters, and developing agentic workflows to multiply impact.

Location: Remote, based out of North America (preference near Santa Clara, CA; Austin, TX; or Toronto, ON)

Salary: $100k - $500k

Company

Tenstorrent is leading the industry on cutting-edge AI technology, developing a high-performance RISC-V CPU to redefine the computing paradigm.

What you will do

• Contribute production code and operate deployments for AI inference service products.
• Act as the primary technical link between customers, engineering, and product teams.
• Debug the full inference stack, from serving layers down to kernel dispatch and memory issues.
• Translate ambiguous customer requirements into verifiable technical acceptance criteria.
• Provide feedback to core teams via pull requests, benchmarks, and telemetry data.

Requirements

• Must be based in North America.
• 5+ years of technical experience as an Applied, ML, Platform, Infrastructure, or SRE Engineer.
• Experience with Kubernetes and Helm at multi-node, HPC, or AI cluster scale.
• Proficiency with LLM inference engines such as vLLM, SGLang, or similar technologies.
• Experience with observability and automation tools like Prometheus, Grafana, and OpenTelemetry.
• Must be eligible to access U.S. export-controlled technology (EAR compliance).

Culture & Benefits

• Highly competitive compensation package and comprehensive benefits.
• High-autonomy role with direct impact on customer success and product direction.
• Collaborative environment focused on solving hard problems in AI hardware/software co-design.
• Opportunity to work with cutting-edge RISC-V CPU architecture.