Distributed AI Systems Engineer

Tenstorrent; Town of Texas (WI); Hybrid; USD 100,000 - 500,000; Full time

Job summary

Tenstorrent is seeking a TT-Distributed Software Engineer to advance high-performance AI and HPC clusters. You will work on distributed programming across multiple nodes, implementing scalable IPC, socket communication, and data-parallel tensor-parallel workloads.

We welcome candidates at various experience levels; offers align with level. This hybrid role is based in Santa Clara, CA; Austin, TX; or Toronto, ON.

Qualifications

• Strong C/C++ foundations in systems programming and distributed concepts.
• Experience building scalable distributed software across multi-node clusters.
• Familiarity with IPC, sockets, and high-performance networking.

Responsibilities

• Architect, implement, and optimize distributed software coordinating AI workloads.
• Design distributed APIs for data-parallel and tensor-parallel workloads.
• Leverage MPI-based frameworks to scale across hosts and compute nodes.
• Develop tooling for testing, debugging, profiling, and monitoring at scale.
• Collaborate with model and systems teams on cluster bring-up.

Skills

C/C++

Distributed systems

IPC

Socket programming

MPI

Performance tuning

Systems programming

Tools

MPI

Linux

Job description

Tenstorrent is seeking a TT-Distributed Software Engineer to advance high-performance AI and HPC clusters. You will work on distributed programming across multiple nodes, implementing scalable IPC, socket communication, and data-parallel tensor-parallel workloads.

We welcome candidates at various experience levels; offers align with level. This hybrid role is based in Santa Clara, CA; Austin, TX; or Toronto, ON.