Advanced AI Software Engineer – Compiler Optimization Specialist

4 days ago

Cork, Cork, Ireland beBeeMachineLearning Full time €90,000 - €123,000
Job Opportunity: AI Software Engineer

Are you a skilled professional with a passion for developing innovative software solutions? Do you have a strong background in artificial intelligence and machine learning? We are seeking an experienced AI Software Engineer to join our team

About the Role

We are looking for a talented engineer to create and optimize cutting-edge technologies for compilers, quantization processes, and ML workloads. Your primary responsibility will be to design, develop, and enhance ML compilers using PyTorch and C++ tailored for Neural Processing Unit (NPU) architecture.

You will also collaborate directly with strategic customers to deliver impactful solutions, shaping the future of energy-efficient ML technology. Your work will empower the world's lowest-power ML solution, deployed in more devices globally than any other.

  • Main Responsibilities:
  • Develop and enhance ML compilers using PyTorch and C++ tailored for NPU architecture.
  • Design and implement advanced quantization techniques to improve model efficiency and accuracy.
  • Optimize ML workloads for deployment across diverse devices, ensuring top-tier performance and energy efficiency.
  • Work directly with strategic customers to address specific challenges and deliver tailored ML solutions.
  • Collaborate with architecture and software engineering teams to integrate cutting-edge ML technologies into platforms.
  • Research, prototype, and implement innovative solutions in ML compiler design and system-level optimizations.
  • Evaluate and debug ML performance to identify and resolve bottlenecks in complex workflows.
  • Create thorough technical documentation to share knowledge and advancements with the team.
Requirements

To be successful in this role, you will need:

  • A Bachelor's degree in Science, Engineering, or a related field.
  • Strong expertise in PyTorch and C++ programming.
  • Experience with ML workload analysis, compiler development, and quantization techniques.
  • Familiarity with deep learning frameworks such as TensorFlow or ONNX is a plus.
  • Proven track record of solving complex performance and efficiency challenges in hardware-aware ML solutions.
  • Ability to work collaboratively with strategic customers and deliver impactful results.
  • Excellent analytical skills and ability to thrive in a high-performance team environment.
Benefits

We offer a competitive salary, comprehensive benefits package, and opportunities for career growth and professional development.

Join Our Team Today

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