System Engineer (Token Factory)
New
Fully remote working flexibility within Europe.Full-Time
Salary not disclosed
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Job Details
- Required Skills
- C++
Requirements
- Strong proficiency in C++ development or deep expertise in GPU programming focused on low-level, high-performance computing and memory management.
- Experience with GPU programming or systems-level software development, including operating system internals, kernel modules, device drivers, or comparable areas.
- Hands-on experience using profiling and debugging tools to analyze CPU and GPU performance issues and optimize code based on findings.
- Strong understanding of CPU/GPU architecture, memory hierarchy, and hardware performance considerations.
- Familiarity with GPU computing technologies such as CUDA, ROCm, CUTLASS, Triton, Pallas, Mosaic GPU, or similar frameworks.
- Experience with machine learning inference runtimes such as TensorRT, TVM, or comparable technologies.
- Knowledge of Linux internals, compiler toolchains, drivers, and performance analysis tools such as perf, VTune, Nsight, or ROCm profiler.
- Familiarity with modern inference engines and AI deployment frameworks.
- Strong problem-solving skills, technical curiosity, and ability to collaborate effectively in a fast-paced engineering environment.
Responsibilities
- Develop and optimize low-level kernels, runtime components, and system software responsible for high-performance AI inference workloads.
- Improve inference engine performance across GPU platforms by identifying bottlenecks and implementing advanced optimization techniques.
- Profile, debug, and resolve system-level and hardware-level performance issues across CPU and GPU environments.
- Integrate support for emerging GPU architectures and next-generation hardware platforms.
- Collaborate closely with machine learning and backend engineering teams to optimize end-to-end execution pipelines.
- Contribute to the continuous improvement of large-scale AI infrastructure through technical innovation, performance analysis, and system-level problem solving.
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