Software Engineer-Runtime
Company:** Kinara Inc. USA
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Kinara Inc. USA is seeking a talented and motivated Software Engineer to join our Runtime team. In this role, you will be instrumental in designing, developing, and optimizing the core runtime software that powers our cutting-edge AI accelerators. You will contribute to creating efficient, high-performance, and robust solutions for deploying and executing AI models.
Responsibilities
* Design, implement, and optimize runtime software components for Kinara's AI accelerator hardware.
* Develop and maintain low-level software that interfaces with hardware, including drivers, firmware, and embedded software.
* Optimize runtime performance for various AI workloads, focusing on latency, throughput, and memory utilization.
* Collaborate with hardware design engineers to define and refine hardware-software interfaces.
* Work closely with AI framework teams to integrate and support popular AI models and operators.
* Debug and troubleshoot complex software and hardware interactions.
* Write clear, concise, and well-documented code, along with unit and integration tests.
* Participate in code reviews to ensure code quality, maintainability, and adherence to best practices.
* Research and evaluate new technologies and techniques to improve runtime efficiency and capabilities.
Qualifications
* Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
* 2+ years of professional experience in software development, with a focus on systems programming or embedded systems.
* Proficiency in C/C++ programming and strong debugging skills.
* Experience with low-level programming and understanding of computer architecture.
* Familiarity with operating system concepts (e.g., memory management, scheduling, multithreading).
* Experience with performance profiling and optimization techniques.
* Excellent problem-solving skills and attention to detail.
* Ability to work effectively in a collaborative team environment.
* Strong communication skills, both written and verbal.
Preferred Qualifications:**
* Experience with AI accelerator runtime development.
* Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch, ONNX Runtime).
* Knowledge of parallel computing and GPGPU programming (e.g., CUDA, OpenCL).
* Experience with embedded Linux or RTOS development.
* Understanding of compiler concepts and code generation.
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