Intel AI HW/SW Co-Design Modelling Engineer 

Ireland 

68427660

Key Responsibilities:

• As an AI HW/SW Co-Design Modelling Engineer, you'll be an integral part of a dynamic team developing NPU IP Pre-Silicon Simulation software models and tools for Intel's SoC designs.

• Collaborate with multi-disciplinary engineers and architects to model future Intel NPU hardware IP, crafting virtual platforms for early software bring-up and robust hardware validation environments.

• Gain a broad understanding of how HW-based acceleration products are built and learn why these products are the real engine behind the AI revolution.

• InnovativeEnvironment: Immerseyourself in cutting-edge virtual platform modelling technology, using platforms such as Intel Simics and state-of-the-art UVM hardware validation methodologies.

• Rapid SkillEnhancement: Expandyour existing expertise through advanced software engineering techniques and embedded software development practices.

• CollaborativeExcellence: Workalongside RTL designers, validation engineers, and SW/FW and OS driver developers to deliver world-class products

• Architectural Influence: Grow your AI development skills and contribute to architectural and technical deliverables while adhering to sound software engineering principles.

• Career Growth: We will invest in you, helping you to sustain and reach your long-term career goals focusing both on hard and soft skill development.

Minimum Qualifications:

• Master/Bachelor of Science in Electrical Engineering, Computer Science or relevant technologydegree/qualificationwith 5+ years of applicable industry experience.

• SoftwareProficiency: Strongbackground in object-oriented programming, C++,Python, Software Engineering

• Linux SoftwareDevelopment: Developmentand debug experience is a must.

• Embedded HardwareDesign: Proficiencywith VHDL/Verilog, SystemVerilog for simulation and synthesis is essential.

• Strong AIFundamentals: Understandingof underlying principles such as dot product (multiply and accumulate), activation functions, convolution, etc., and how they relate to, and enable, AI network topologies.

• Familiarity with Git and CI tools: Git for source code management, and experience with CI/CD and automated software/hardware regression testing are highly advantageous.

Preferred Qualifications:

• Virtual PlatformModelling: Hands-onexperience with Intel Simics or similar virtual platform modelling and simulation environments.

• Multithreaded ApplicationDevelopment: Expertisein C/C++.

• HW Validation Methodology: Experience beyond basic HDLs such as Verilog and VHDL.,UVM for hardware verification

• Embedded SW, Firmware, and/or SystemValidation: Debugand signoff experience.

• Numerics and AI DataProcessing: Understandingof floating point datatypes, type conversion, commutativity, and precision in the context of AI data processing structures such as tensors and blobs.

• Familiarity with SoCArchitecture: System-levelunderstanding of data flows and memory management, including simulation of HW components and functions such as registers, data/memory interfaces, MMUs, CPUs, DSPs, NoCs, interrupts, and CPR (clock, power, reset).

Requirements listed would be obtained through a combination of industry-relevant job experience, internship experiences, and/orschoolwork/classes/research.On-the-job training will be given in these areas as you take the next step in your career with our team.

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