low-code developer for hardware security

AMD is building a hardware-assisted security platform that uses processor-level performance monitoring and on-chip machine learning to detect advanced endpoint threats on Windows 11. 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.

• Own the end-to-end technical architecture of the hardware-assisted threat-detection platform across CPU telemetry, Windows systems components, ML inference, partner-facing SDK/API integration, and platform security mechanisms;
• Define technical strategy, architectural boundaries, interfaces, and the integration model across the Lab, ML, and Real-Time workstreams;
• Lead cross-functional architectural decisions involving processor telemetry, Windows kernel and user-space components, model inference, system performance, endpoint-security requirements, and partner integration;
• Establish technical quality standards, architecture principles, design-review practices, and engineering acceptance criteria;
• Define measurable efficacy and performance objectives covering detection quality, false-positive behavior, inference latency, system overhead, reliability, and API compatibility;
• Evaluate trade-offs between model quality, telemetry coverage, runtime performance, implementation complexity, and system resource consumption;
• Own the technical strategy for the partner-facing SDK/API, including interface stability, versioning, compatibility, diagnostics, and integration guidance;
• Coordinate the technical relationship with approved security-software integration partners;
• Lead end-to-end validation gates across representative workloads, threat categories, system configurations, and hardware platforms;
• Ensure that technical decisions, interfaces, assumptions, risks, and known limitations are documented and traceable;
• Identify, communicate, and mitigate program-level technical risks and cross-workstream dependencies;
• Provide hands-on technical guidance and design support for complex issues spanning hardware, drivers, systems software, ML, and security;
• Mentor senior engineers across the Lab, ML, and Real-Time workstreams and help resolve cross-disciplinary technical problems;
• Represent the platform in client architecture reviews, partner discussions, and approved external technical engagements;
• Translate technical progress, constraints, and risks into clear decisions and priorities with project stakeholders;
• Support the transition from Proof of Concept toward a scalable productization architecture if the initial phase is successful.

• 8+ Years of progressive software, systems, platform, hardware, security, or machine-learning engineering experience;
• Substantial experience as a Principal Engineer, Staff Engineer, Senior Staff Engineer, Technical Lead, Systems Architect, or equivalent technical authority;
• Hands-on technical depth in CPU and platform engineering, Windows systems and kernel engineering, endpoint security, or ML systems, with credible experience in at least one additional area;
• Working literacy across the remaining technical areas and the ability to lead specialists without equal hands-on depth in every discipline;
• Experience making and documenting architecture decisions across multiple components, engineering disciplines, or organizational boundaries;
• Experience leading a complex multi-disciplinary engineering effort from definition and prototype through integration and validation;
• Experience defining measurable technical KPIs, performance budgets, quality gates, acceptance criteria, or engineering readiness criteria;
• Ability to evaluate system-level trade-offs involving performance, reliability, security, compatibility, maintainability, and delivery risk;
• Strong technical communication skills across engineering, partner, project-management, and executive audiences;
• Ability to mentor senior engineers, facilitate design reviews, resolve technical disagreements, and drive decisions to closure;
• Ability to remain hands-on in architecture reviews, debugging, prototyping, performance analysis, or other technically complex work;
• Must be based in Gdańsk or willing to relocate to the Gdańsk area;
• University degree in computer science, electrical engineering, computer engineering, cybersecurity, or an equivalent field;
• English at C1 Advanced level;
• Nice to have: hardware-assisted security technologies on a major processor architecture, endpoint-security or EDR products, hardware performance counters and processor telemetry, Windows driver development and WHQL processes, machine-learning inference in low-level or performance-sensitive systems, ONNX Runtime, OpenVINO, DirectML, GPU/NPU runtimes, model quantization, inference-performance optimization, SDK/API development for external partners, security-software vendor integrations, malware research and threat intelligence, silicon validation, firmware, UEFI/BIOS, hardware attestation, trusted execution, secure boot, platform-rooted security, detection-efficacy metrics, early-stage R&D or Proof-of-Concept productization, patents, technical publications, open-source contributions, conference presentations, or standards participation.

• Relocation support is available;
• Private healthcare insurance with unlimited access to specialists, full dental support, travel insurance, life insurance, and corrective-glasses reimbursement;
• Multisport card and access to wellbeing programs;
• Annual holiday of 20 or 26 days depending on overall seniority;
• Training courses, self-learning resources, cloud academies, mentorship, and leadership programs;
• Preferential banking, car leasing, and cafeteria discounts;
• Work under an employment contract is required for the listed benefits.