Software Engineer-Runtime

Software Engineer-Runtime

Company: Kinara Inc. USA

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Job Summary

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 Kinaras 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

Bachelors or Masters 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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