We are looking for a C/C++ engineer to design and optimize high-performance compute kernels for AI accelerators
This is not Linux kernel development, and it does not involve drivers, operating systems, or kernel modules.
In this context, “kernels” refer to user-space compute kernels for tensor operations used in deep learning workloads
You will work at the lowest level of AI performance engineering — where software meets specialized hardware.
Design and implement high-performance compute (operator) kernels in C/C++
Develop core tensor operations
Optimize performance for AI accelerators (latency, throughput, and efficiency)
Apply low-level optimization techniques
Profile, benchmark, and tune kernels to eliminate performance bottlenecks
Contribute to internal libraries and runtime systems for AI workloads
Strong proficiency in C/C++
Experience with performance-critical software development
Strong understanding of low-level optimization techniques
Understanding of CPU/GPU or accelerator architecture fundamentals
Ability to analyze and debug complex systems
Experience working with large, complex codebases
Strong communication and teamwork skills
Experience with GPU kernel programming (CUDA / ROCm / OpenCL)
Experience with Triton or similar kernel programming frameworks
Knowledge of instruction set architectures (ISA)
Familiarity with compiler technologies (e.g., LLVM-based stacks)
Experience with distributed communication frameworks (NCCL, MPI, libfabric)
Understanding of deep learning models
Highly competitive salary, employment contract (Umowa o Pracę), and a comprehensive benefits package, including Medicover healthcare coverage.
Work on the performance-critical compute layer for next-generation AI accelerators
Direct impact on deep learning model efficiency and latency
Collaboration with experts in hardware, compilers, and systems
Challenging low-level performance engineering problems at the hardware–software boundary
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