AMD is building a hardware-assisted security platform that uses silicon-level Performance Monitoring Counters (PMCs) and on-chip machine learning to detect advanced endpoint threats (ransomware, fileless malware, cryptojacking) at the processor layer, below OS-based evasion. The platform collects CPU behavioral telemetry, classifies it via an ML inference engine, and exposes threat signals to security-software partners through a standardized API. The team covers the full stack: silicon telemetry, ML training/validation, real-time inference, lab qualification and CI/CD.
Design, train and evaluate ML classifiers (binary and multi-class) on CPU PMC telemetry datasets targeting ransomware, cryptomining, fileless malware and related threat categories.
Perform feature engineering on raw hardware performance counter data (branch behavior, cache miss patterns, instruction mix ratios, execution port utilization) to extract discriminative threat signatures.
Implement evaluation frameworks measuring detection rate, false-positive rate and inference latency on target GPU/NPU hardware.
Expand and validate training datasets across malware variants; iteratively improve model coverage and accuracy.
Optimize model architectures for inference on AMD integrated GPU and NPU hardware, balancing accuracy against strict CPU overhead targets. Export models to production-compatible inference formats and collaborate with real-time developers for pipeline integration.
Document model architecture decisions, training-data provenance, evaluation metrics and known limitations.
Maintain version control and reproducibility for all training pipelines and model artifacts.
MUST
3+ years of industry experience in applied ML or data science.
Proficiency in Python; strong hands-on experience with PyTorch, TensorFlow or scikit-learn.
Experience with binary or multi-class classification on tabular or time-series data. Solid understanding of model evaluation: cross-validation, precision/recall, F1, ROC-AUC.
Understanding of model optimization for inference: quantization, pruning, ONNX export.
NICE TO HAVEExperience with anomaly detection or one-class classification methods. Background in cybersecurity, malware analysis or endpoint threat detection.
Familiarity with hardware performance counters or systems-level telemetry as ML input features.
Experience training models for deployment on GPU or NPU accelerators with constrained compute budgets.
Luxoft DXC
2000
Luxoft, a DXC Technology Company is a global digital strategy and software engineering firm with over 17,000 international employees within its 58 offices in 29 countries. It is headquartered in Zug, Switzerland.
In January 2019, Luxoft was acquired by U.S. company DXC Technology. Luxoft partnered with LG Electronics to create a next-generation Autonomous Mobility concept vehicle that integrates consumers' personalized digital lifestyles into a driving experience. Luxoft enabled Switzerland's first Blockchain based e-vote platform with the City of Zug and Hochschule Luzern's Blockchain Lab.
Luxoft, a DXC Technology Company is a world-renowned company. It has been present on the Polish market for over 13 years. We have offices in Krakow, Warsaw, Wroclaw, and Gdansk. We employ over 2,000 professional experts carrying out projects for over 100 clients from the financial, automotive, medical, tourist industries, etc. We work for many international clients, including the USA, Great Britain, and Switzerland.
So far, Luxoft Poland has made a name for itself as a company that offers work on innovative projects, we offer various experiences in the field of IT, opportunities for rapid development, an extensive training program, and attractive benefits for employees.
At present, 62% of Luxoft Poland employees come from Poland, and 38% from around 50 countries, including Ukraine, Brazil, India, Turkey, Spain, Portugal, Italy, Romania, USA, etc.
At Luxoft, a DXC Technology Company almost 80 percent of employees are experts with the "Senior" experience level, with at least five years of experience. We care about our employees, so every day we try to provide them with the best possible conditions for work and development.
Technology is our passion! We focus on top engineering talent means that you will be working with the best industry professionals from around the world. Because of that, Luxoft is a global family with an epic atmosphere – we love what we do!