Performance Optimization Engineer

WE ARE LOOKING FOR PERFORMANCE OPTIMIZATION ENGINEER

We are looking for an experienced Performance Optimization Engineer to join our team. In this role, you will profile, analyze and optimize inference engines across diverse hardware platforms (AMD, Intel...). The ideal candidate will have a deep understanding of hardware architecture, low-level programming and performance tuning.

Your future colleagues are waiting for you to join our international team. Working with us is uncomplicated, there’s a good team spirit, low-hierarchy and nonexistent bureaucracy. Our way of working is flexible too, many of our team work remotely from home with visits to our office from time to time when needed. This role is equally challenging, and as such we offer a very good compensation.

Required Qualifications

• Bachelor's or Master’s degree in Computer Engineering, Electrical Engineering, or related field.
• Experience with performance profiling tools.
• Strong proficiency in low-level programming (C, C++, OpenCL, CUDA/HIP).
• Understanding of GPU architectures, memory hierarchies and parallel compute paradigms.
• Hands-on experience with optimizing inference workloads or high-performance computing applications.
• Familiarity with ML frameworks and inference runtimes is a plus.
  
  

Key Responsibilities

• Profile and analyze hardware and software performance for inference workloads on AMD, Intel and other accelerators.
• Identify bottlenecks related to latency, memory bandwidth and compute efficiency at the hardware level.
• Optimize kernel and driver interactions to improve throughput and reduce latency.
• Collaborate with software engineers to adapt and tune inference engines for target hardware platforms.
• Develop and automate testing and benchmarking workflows to evaluate performance improvements.