Data and DevOps Engineer, Architecture

Tenstorrent is seeking a Data and DevOps Engineer, Architecture to manage data pipelines, automate performance tracking, and improve workflows for optimizing future-generation CPUs and AI systems.

Requirements

• Design dashboards and automate performance tracking for software workloads on simulations of multiple generations of future RISC-V CPUs and heterogeneous chiplet-based systems.
• Maintain or migrate custom data analysis workflows to scalable platforms like relational databases and Apache Superset.
• Efficiently manage, store, and enable the team to utilize large datasets.
• Take ownership of shared tools and workflows by engaging continuously with architecture and design projects as they move through the product development lifecycle.
• Collaborate with engineers and architects who are seeking to evaluate performance tradeoffs in our product design by obtaining data-driven insight.
• Streamline resource allocation and scheduling for CI/regression tests running on a Slurm cluster, ensuring optimal utilization of compute, storage, and network resources.
• Identify resource needs and participate in purchasing decisions or introducing new software tools to our analysis workflows.
• Implement improvements to our methodologies to define and launch simulation experiments and tests.
• Develop solutions to detect, categorize, and report workflow and job failures in Slurm, CI systems, and data pipelines

Benefits

• highly competitive compensation package
• benefits