Real-Time Developer - Member of Technical Staff (MTS)

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 (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.

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: B2 Upper Intermediate

• Seniority: Regular

Requirements

• 3+ years of systems programming experience in C, C++ or Rust. Experience with real-time or low-latency software: kernel/user-space data pipelines, shared memory, ring buffers or lock-free queues.

• Familiarity with Windows or Linux kernel programming concepts and driver-to-user-space communication mechanisms.

• Strong debugging and profiling skills on production systems.

• Experience developing SDKs or APIs for external partners.

• Knowledge of AMD GPU compute stack or GPU/NPU programming models. Familiarity with performance monitoring infrastructure on x86-64 platforms.

• Background in endpoint security or EDR software.

• Experience integrating ML inference runtimes (e.g. ONNX Runtime, OpenVINO or equivalent).

Responsibilities

• Implement high-throughput, low-latency data pipelines that stream PMC telemetry from the kernel-mode driver to the ML inference runtime on AMD integrated GPU or NPU.

• Develop and maintain the real-time inference integration layer: model loading, batching, inference execution and result delivery to the API layer. Build the ISV API surface: threat signal delivery, subscriber registration, multi-consumer support and API versioning.

• Optimize streaming pipeline throughput and latency to meet end-to-end detection-to-alert targets; profile and reduce CPU overhead.

• Implement per-process and per-thread telemetry attribution so threat signals carry accurate process context.

• Develop unit and integration tests for the real-time pipeline; participate in load and stress testing.

• Collaborate with lab engineers to replay captured malware telemetry through the production pipeline.

• Document API specifications, pipeline architecture and integration guides for partner developers.