Distributed AI Systems Engineer

Tenstorrent; Austin (TX); Hybrid; USD 100,000 - 500,000; Full time

Job summary

Tenstorrent is seeking a TT-Distributed Software Engineer to design and optimize distributed software systems powering AI and HPC clusters. You will architect and implement distributed APIs for data-parallel and tensor-parallel workloads, leverage MPI, and build robust IPC-enabled services across multi-node environments.

Strong C/C++ systems programming experience is essential. This hybrid role is based in Santa Clara, CA; Austin, TX; or Toronto, ON, with opportunities across seniority levels.

Qualifications

• Strong C/C++ experience with systems programming and distributed systems basics.
• Experience designing distributed APIs for data- and tensor-parallel workloads.
• Familiarity with MPI-based scaling across multiple hosts and nodes.
• Proficient in IPC and inter-node socket programming for high performance.

Responsibilities

• Architect, implement, and optimize distributed software across AI clusters.
• Design distributed APIs enabling data- and tensor-parallel workloads.
• Leverage MPI and related frameworks to scale across multiple hosts.
• Develop robust IPC, inter-node sockets, and distributed communication primitives.
• Build and maintain testing, debugging, profiling, and monitoring tools for large-scale workloads.

Skills

C/C++

Distributed systems

IPC

Sockets

Systems programming

Tools

MPI

Inter-node communication frameworks

Job description

Tenstorrent is seeking a TT-Distributed Software Engineer to design and optimize distributed software systems powering AI and HPC clusters. You will architect and implement distributed APIs for data-parallel and tensor-parallel workloads, leverage MPI, and build robust IPC-enabled services across multi-node environments.

Strong C/C++ systems programming experience is essential. This hybrid role is based in Santa Clara, CA; Austin, TX; or Toronto, ON, with opportunities across seniority levels.