Machine Learning Engineer

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, including ransomware, fileless malware, and cryptojacking, at the processor layer, below OS-based evasion.

The platform collects CPU behavioral telemetry, classifies it through an ML inference engine, and exposes threat signals to security-software partners through a standardized API.

The project covers the full engineering path from silicon telemetry and data generation through ML training and validation, real-time inference, lab qualification, and partner integration.

The Real-Time Developer will lead the runtime and integration workstream, including the low-latency Windows data pipeline, integration with the ML inference runtime, and development of the SDK/API layer used by security-software partners.

This is a Windows-focused role requiring regular on-site work in Gdańsk. Additional implementation details will be shared during the recruitment process in line with the applicable confidentiality requirements.

• Responsibilities:
• Design and implement high-throughput, low-latency data pipelines that transfer CPU telemetry from a Windows kernel-mode component to a user-space ML inference runtime.
• Develop reliable communication mechanisms between Windows kernel-mode and user-space components.
• Develop and maintain the real-time inference integration layer, including model loading, input preparation, inference execution, result handling, and error recovery.
• Integrate production-compatible ML inference runtimes such as ONNX Runtime, OpenVINO, or equivalent technologies.
• Design and implement a stable SDK/API layer for delivering approved threat signals to security-software partners.
• Support API lifecycle concerns such as consumer registration, compatibility, versioning, error handling, and integration documentation.
• Implement accurate per-process and per-thread attribution of collected telemetry and inference results.
• Profile and optimize pipeline throughput, latency, memory use, synchronization, and CPU overhead.
• Design for concurrency and predictable performance using suitable mechanisms such as shared memory, ring buffers, lock-free queues, asynchronous processing, or equivalent techniques.
• Develop unit, integration, regression, load, and stress tests for the runtime pipeline and partner-integration layer.
• Support hardware-in-the-loop verification across relevant Windows platforms and system configurations.
• Collaborate with Lab and ML Engineers to replay captured telemetry, validate model integration, and investigate end-to-end behavior.
• Diagnose and resolve issues across kernel-mode components, user-space services, inference runtimes, and partner-facing interfaces.
• Document the runtime architecture, communication protocols, API specifications, performance characteristics, integration procedures, and known limitations.
• Work regularly on-site in Gdańsk and collaborate closely with the hardware validation environment.
• Mandatory Skills Description:
• 4+ years of professional experience in systems programming using C or C++. Rust experience is also relevant when supported by strong low-level systems experience.
• Hands-on experience with Windows kernel programming concepts and driver-to-user-space communication mechanisms.
• Experience developing, integrating, debugging, or validating Windows kernel-mode drivers or closely related low-level Windows components.
• Experience building real-time, near-real-time, high-throughput, or low-latency software.
• Practical knowledge of one or more high-performance communication or concurrency mechanisms, such as shared memory, memory-mapped I/O, ring buffers, lock-free queues, asynchronous I/O, or multi-threaded pipelines.
• Strong understanding of concurrency, synchronization, memory management, process and thread behavior, and performance-sensitive software design.
• Strong debugging and profiling skills across kernel-mode and user-space Windows components.

Experience developing reliable production-oriented software with clear error handling, diagnostics, testing, and maintainability.

• Experience developing unit, integration, regression, load, or stress tests for systems software.
• Ability to analyze and reduce latency, CPU overhead, memory use, contention, and other runtime-performance bottlenecks.
• Ability to work with technical specifications and document architecture, interfaces, protocols, and integration procedures.
• Ability to work regularly on-site in Gdańsk.
• University degree in computer science, electrical engineering, computer engineering, or an equivalent field.

What do we offer our employees

👩 ⚕️ LuxMed healthcare, including dental care and life insurance

🏋🏽 ♀️ MyBenefit program (sports card, wellness program, etc.

🏠 Remote (or hybrid) work

🖋 Stable employment under an employment contract

🏦 Special banking service

💻 Equipment, such as a laptop and monitor