RISC-V AI / HPC & Agentic Software Engineer

Tenstorrent is building next-generation RISC-V CPUs optimized for AI, high-performance computing, and emerging autonomous AI systems. As the RISC-V AI / HPC & Agentic Software Engineering Lead, you will operate at the hardware–software boundary, enabling AI, HPC, and agentic AI software stacks on Tenstorrent’s RISC-V processors. This role is responsible for integrating and optimizing Tenstorrent’s LLK (Low-Level Kernel) infrastructure for CPU execution, while leading the bring-up of a RISC-V-native agentic AI software stack — including runtime orchestration, distributed execution frameworks, memory systems, and developer tools required for goal-driven AI systems. You will work closely with CPU architects, microarchitecture teams, compiler engineers, and AI kernel developers to ensure tight alignment between software capabilities and RISC-V architectural features.

This role is remote, based out of Taiwan.

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

• A systems-oriented software engineer with deep experience in HPC and AI software stacks.
• Experienced with distributed AI systems, orchestration frameworks, or agentic AI architectures.
• Comfortable working close to hardware and instruction-level programming.
• Skilled at translating performance targets into architectural and software requirements.
• Experienced in runtime systems, profiling, and low-level optimization.
• Motivated by hardware–software co-design and scaling next-generation AI infrastructure.

 

What We Need

• Strong background in HPC and AI software development.
• Solid understanding of RISC-V architecture (ISA, extensions, micro-architectural implications).
• Proficiency in C/C++ and systems programming.
• Experience optimizing performance-critical code paths.
• Experience with agentic AI frameworks, distributed execution systems, or orchestration platforms.
• Familiarity with compiler toolchains (LLVM, GCC).
• Experience with vectorization, custom ISA extensions, or accelerator integration.

 

What You Will Learn

• How AI and agentic workloads map to RISC-V microarchitecture.
• Custom ISA extension design for AI acceleration.
• End-to-end HPC/AI/agentic stack integration.
• Runtime orchestration for distributed AI systems.
• Hardware–software co-design for scalable AI-native CPU platforms.

 

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