Systems Modelling Engineer – Computer Vision & AI

We are seeking a Systems Modelling Engineer with strong expertise in system-level modelling, pre-silicon validation, and performance optimization. In this role, you will contribute to the development and validation of advanced computer vision and machine learning architectures integrated into high-performance SoCs.

Working closely with cross-functional hardware, firmware, and software teams, you will play a critical part in modelling, validating, and optimizing next-generation vision and AI acceleration technologies.

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• Develop and maintain system-level models for computer vision algorithms and hardware architectures, including data flow, task partitioning, interfaces, and system interoperability.
  
• Implement and optimize models in C/C++ across Linux and Windows environments, focusing on runtime efficiency and memory performance.
  
• Contribute to DSP, GPU, and CPU optimization of computer vision and ML workloads.
  
• Support pre-silicon emulation, firmware/software validation, and system verification activities.
  
• Develop Python-based scripting for unit testing, system validation, and automation.
  
• Analyze ML compiler benchmarks and profiling data to drive performance tuning and optimization innovation.
  
• Manage large-scale codebase integration, version control, and automated testbench frameworks.
  
• Collaborate with globally distributed hardware and software teams throughout the chipset lifecycle.
  

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• Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
  
• Strong hands-on experience in C/C++ development and debugging within embedded or SoC-based environments.
  
• Solid understanding of embedded systems, hardware architecture modeling, and accelerator-based design.
  
• Experience with computer vision and machine learning algorithms, including ML optimization and compiler-level performance tuning.
  
• Exposure to DSP/NEON/GPU optimization, multi-threaded programming, and high-performance computing concepts.
  
• Familiarity with Linux (bash/csh), Windows development environments, Python scripting, Jenkins (or similar CI tools), and standard SDLC practices.
  

This position offers the opportunity to work on cutting-edge AI and vision technologies in a fast-paced, collaborative environment with global impact.

If your skills and experience align and you are motivated to be part of an innovative engineering team shaping the future of intelligent computing platforms, please apply or email

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In accordance with local employment laws, applicants must have current, valid authorisation to work in European Union at the time of application. We are unable to sponsor employment visas for this role. xcfaprz Applications from individuals without existing work authorisation for European Union cannot be considered.