Telemetry Architect

Tenstorrent is seeking a Datacenter Telemetry Architect to lead the design and development of telemetry infrastructure for our large-scale AI training and inference clusters. You'll sit at the intersection of architecture and operations—capturing, analyzing, and interpreting telemetry data to shape system design and operational best practices. This is a unique opportunity to define how AI data centers scale, working across silicon, software, and DevOps to surface insights that guide future product direction.

This role is hybrid, based out of Austin, TX, Santa Clara, CA, or Toronto, ON.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• You bring 10+ years of experience in datacenter architecture, telemetry, or system-level instrumentation.
• You understand AI and HPC data center operations and are familiar with both industry-standard telemetry protocols and custom silicon-level instrumentation.
• You’re confident using tools like Prometheus, Grafana, Redfish, IPMI, OpenTelemetry, and Loki, and know how to extract meaning from large, complex datasets.
• You enjoy building data pipelines and automation around networking, storage, memory, and compute node metrics to drive continuous system improvements.

What We Need

• Architect and build telemetry infrastructure to support internal and external AI workloads across Tenstorrent clusters.
• Analyze telemetry from host systems, interconnect networks, storage, memory, and accelerator devices to identify bottlenecks and inefficiencies.
• Work closely with silicon architects to define telemetry requirements at the hardware level to enable system-level observability.
• Partner with DevOps and data center operations to build dashboards, exporters, and alerting mechanisms that support real-time decision-making.

What You Will Learn

• How to drive cross-layer visibility in AI datacenters—from silicon instrumentation to DevOps observability tools.
• How telemetry data informs the architecture of next-generation AI systems, including workload tuning and infrastructure scaling.
• How Tenstorrent’s chiplet-based compute and memory architecture impacts data center monitoring and optimization.
• How real-time telemetry can influence future product design, operational playbooks, and customer deployment strategies.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been licensing conditions set  by the U.S. government.

Our engineering positions and certain engineering support positions require access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency, asylee and refugee information and/or documentation will be required and considered as Tenstorrent moves through the employment process.

If a U.S. export license is required, employment will not begin until a license with acceptable conditions is granted by the U.S. government.  If a U.S. export license with acceptable conditions is not granted by the U.S. government, then the offer of employment will be rescinded.