RISC-V AI Software Engineer — Kernels, Runtime
Pubblicato il 18-10-2026 - Mentium Technologies in Bologna
Mentium Technologies Inc. is seeking a motivated RISC-V Software Engineer to join our hardware-software co-design team. In this role, you will help develop and optimize the software stack for our custom RISC-V-based vision AI accelerator.
You will work across embedded software, computer architecture, and machine learning to develop high-performance compute libraries, runtime components, and developer-facing SDK tools. A key part of the role will be efficiently mapping AI and signal-processing workloads onto a multicore RISC-V SoC, with particular attention to vector processing, memory usage, data movement, and parallel execution.
You will collaborate closely with RTL design, system architecture, software, and machine learning teams. This role is well suited for an engineer with experience in RISC-V, embedded computing, or accelerator research who is interested in turning advanced architectural concepts into a practical and extensible software platform.
Key Responsibilities
- Develop and optimize software kernels for machine learning and signal-processing workloads on a RISC-V-based accelerator
- Build reusable compute libraries, runtime components, and APIs for the Mentium SDK
- Optimize software for vector execution, multicore processing, and the SoC memory hierarchy
- Profile workloads and identify compute, memory, and system-level performance bottlenecks
- Integrate optimized software components into AI model deployment and inference workflows
- Develop functional tests, performance benchmarks, examples, and SDK documentation
- Collaborate with hardware engineers to validate architectural features and improve system performance
- Contribute to the continued development of the RISC-V accelerator software architecture and programming model
- Evaluate and adapt relevant open-source libraries, runtimes, and compiler technologies
Required Qualifications
- Master’s or PhD degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field
- 3+