RISC-V AI / HPC & Agentic Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
RISC-V AI / HPC & Agentic Software Engineer (AI): Enabling AI, HPC, and agentic AI software stacks on ’s RISC-V processors with an accent on integrating and optimizing LLK infrastructure for CPU execution and leading bring-up of RISC-V-native agentic AI software stack. Focus on hardware-software co-design, runtime orchestration for distributed execution frameworks, memory systems, and developer tools for goal-driven AI systems.
Remote, based out of Taiwan. Employment contingent upon eligibility to access U.S. export-controlled technology (may require citizenship/permanent residency or U.S. Commerce Department license approval; nationals of EAR Country Groups D:1, E:1, E:2 may be restricted).
Company
leads in cutting-edge AI technology, developing high-performance RISC-V CPUs optimized for AI, high-performance computing, and emerging autonomous AI systems.
What you will do
- Integrate and optimize ’s LLK (Low-Level Kernel) infrastructure for RISC-V CPU execution.
- Lead bring-up of RISC-V-native agentic AI software stack, including runtime orchestration, distributed execution frameworks, memory systems, and developer tools.
- Collaborate with CPU architects, microarchitecture teams, compiler engineers, and AI kernel developers to align software with RISC-V features.
- Translate performance targets into architectural and software requirements.
- Perform low-level optimization, profiling, and hardware-software co-design for scalable AI infrastructure.
Requirements
- Systems-oriented software engineer with deep experience in HPC and AI software stacks.
- Experienced with distributed AI systems, orchestration frameworks, or agentic AI architectures.
- 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, runtime systems, profiling, and low-level optimization.
- Experience with agentic AI frameworks, distributed execution systems, or orchestration platforms.
- Familiarity with compiler toolchains (LLVM, GCC), vectorization, custom ISA extensions, or accelerator integration.
Culture & Benefits
- Highly competitive compensation package.
- Equal opportunity employer valuing collaboration, curiosity, and solving hard problems.
- Opportunities to learn AI/agentic workloads mapping to RISC-V, custom ISA extensions, end-to-end stack integration, and hardware-software co-design.
Hiring process
- Interview process assesses candidates for appropriate experience level; offers align with assessed level.
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