Project description
Who Are We DXC Luxoft is a global IT services and consulting company, part of DXC Technology, delivering cutting-edge digital and software solutions worldwide. We partner with leading financial institutions and global enterprises, helping them transform and scale through modern technology. Join a global community of engineers and be part of building impactful, modern technology solutions! Project Description AMD is developing a hardware-assisted security platform that uses silicon-level Performance Monitoring Counters (PMCs) and on-chip machine learning to detect advanced endpoint threats, including ransomware, fileless malware, and cryptojacking. The platform collects CPU behavioral telemetry, processes it through an ML inference engine, and exposes threat signals to security-software partners through a standardized API. The project spans CPU telemetry collection, ML integration, real-time processing, hardware validation, and partner integration. We are looking for a Senior Windows Systems Engineer (Kernel & Telemetry) to develop and optimize the Windows runtime components responsible for transferring CPU telemetry from kernel space to user space and integrating it with the ML inference pipeline. You will work closely with engineers specializing in hardware, machine learning, validation, and partner integration. This is a Windows-focused role requiring regular on-site collaboration in Gdańsk. Additional technical details will be shared during the recruitment process in accordance with applicable confidentiality requirements.
Responsibilities
SKILLS
Must have
Nice to have
Familiarity with x86-64 CPU performance monitoring, PMCs, PMUs, or processor telemetry. Experience integrating ML inference runtimes such as ONNX Runtime, OpenVINO, or DirectML. Experience with SDK/API development, interface versioning, or external software integration. Familiarity with endpoint security, EDR, anti-malware, or system monitoring solutions. Experience with hardware-in-the-loop testing or validation across different hardware configurations. Knowledge of GPU/NPU acceleration or AMD hardware technologies. Familiarity with Windows driver signing and certification processes.