Senior Real-Time Developer

Description

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.

What we offer

• Global Relocation - (Relocation options; Experience in an international environment; Cross-cultural experience)

• Recognition and Evaluation - (Feedback culture; Regular appraisals)

• Time Off - (Annual holiday - 20 or 26 days. The duration of the leave depends on the overall seniority; Occasional leave - 1 or 2 days/ depending on the circumstances; Child care leave - 2 days or 16 hours per year; Absence due to force majeure - 2 days or 16 hours per year; Maternity Leave - 20 weeks; Parental Leave - 41 weeks; Paternity Leave - 14 days)

• Luxoft Training Center - (Expert-led tech courses covering basic to advanced topics; Internal instructor-led soft skills courses; Comprehensive in-house self-learning resources for both soft and hard skills; Access to external self-learning libraries like ProQuest eBook and Udemy for Business; Cloud Programs: MS Cloud Academy, AWS Partner Academy, Google Cloud Academy; Custom Learning Programs: upskilling, reskilling, technical mentorship; Leadership Programs for Managers)

• Well-being and Work-life Balance - (Multisport card; Possibility to order Multisport card at the corporate rate for family members; LuxGood Program: wellbeing seminars, contests, relaxation sessions, yoga sessions, etc.; One Team Program: Buddy for each New Joiner; seminars, meeting and workplace space to support integration with local community and culture; “Hire me” workshops for partners; Preferential banking offer; Preferential car leasing offer; Cafeteria program discounts for shops, cinema tickets, holiday offers; Luxoft Social Benefit Fund: sport and recreation benefits, the possibility to receive financial support)

• Health Care - (Private Healthcare Insurance with unlimited access to specialists; Full dental support; Travel Insurance; Possibility to add private healthcare coverage for family members at the corporate rate; Life insurance at the corporate rate for employees and family members, including payment of the basic package for the employee by the employer; Reimbursement for corrective glasses)

• Company Events and Friendly Environment - (Many fun social activities organized by the Luxoft team offline in your city; Online entertainment events for whole company and local team events; A workplace where you’re treated with respect within a multicultural team)

• Internal Mobility - (Rotation between projects and accounts; New career opportunities)

• Self-Learning Library

• CSR Projects

Other

• Languages: English: C1 Advanced,Polish: C1 Advanced

• Seniority: Senior

• Languages: English: C1 Advanced,Polish

Requirements

• Experience developing Windows kernel-mode drivers and/or closely related low-level Windows components.

• 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 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.

• Experience integrating ML inference runtimes such as ONNX Runtime, OpenVINO, TensorRT, DirectML, or equivalent technologies.

• Experience developing SDKs, libraries, or APIs used by external partners or multiple independent consumers.

• Experience with API versioning, backward compatibility, schema design, subscriber management, or partner-integration support.

• Familiarity with x86-64 hardware performance monitoring, CPU telemetry, PMCs, PMUs, system tracing, or processor profiling.

• Experience with Windows Driver Frameworks, Windows Driver Kit, WinDbg, ETW/ETL tracing, KMDF, UMDF, IOCTLs, or related Windows technologies.

• Experience with hardware-in-the-loop testing, platform validation, or integration across multiple hardware configurations.

• Experience optimizing software for GPU, NPU, DSP, or other hardware accelerators.

• Familiarity with AMD GPU compute technologies, Windows AI acceleration, or comparable GPU/NPU programming models.

• Experience with per-process or per-thread telemetry attribution.

• Background in endpoint security, EDR software, system monitoring, anti-malware, or other security-sensitive systems.

• Understanding of model input preparation, batching, inference execution, result interpretation, and runtime failure handling.

• Familiarity with driver signing or Windows driver certification processes. Prior WHQL experience is helpful but is not required for the Proof-of-Concept phase.

• Experience working across firmware, drivers, system services, hardware platforms, and application-level interfaces.

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.