AI HW/SW Co-Design Modelling Engineer - Job Opportunity at Intel Corporation

Leixlip, Ireland
Full-time
Senior
Posted: March 23, 2025
Hybrid
EUR 85,000 - 120,000 annually based on location and experience level in Ireland's semiconductor industry

Benefits

Competitive compensation package including base salary and bonuses
Stock options and equity participation
Comprehensive health insurance coverage
Retirement savings plans
Paid vacation and time off
Professional development and training programs
Hybrid work model flexibility

Key Responsibilities

Lead development of NPU IP Pre-Silicon Simulation software models for SoC designs
Collaborate with cross-functional teams on virtual platform development
Drive early software bring-up and hardware validation processes
Contribute to architectural decisions for AI acceleration products
Optimize software stack performance for silicon implementations
Develop and maintain simulation and validation frameworks

Requirements

Education

Master/Bachelor of Science in Electrical Engineering, Computer Science or relevant technology degree

Experience

5+ years of applicable industry experience

Required Skills

Object-oriented programming C++ Python Linux Software Development VHDL/Verilog SystemVerilog AI Fundamentals Git CI/CD tools Virtual Platform Modelling Multithreaded Application Development HW Validation Methodology Embedded SW Numerics and AI Data Processing SoC Architecture
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Sauge AI Market Intelligence

Industry Trends

The convergence of AI hardware and software development is creating a new category of specialized engineering roles that bridge traditional hardware and software domains. NPU (Neural Processing Unit) development is becoming critical as AI workloads increasingly move to edge devices and personal computers. The trend toward AI-enabled PCs is driving demand for engineers who can optimize both hardware and software stacks for AI acceleration.

Role Significance

Typically part of a 10-15 person specialized engineering team within a larger product development organization
Senior individual contributor role with significant technical influence on product architecture and implementation strategies

Key Projects

Development of next-generation NPU architectures for consumer devices Creation of simulation environments for pre-silicon validation Implementation of AI acceleration frameworks Platform optimization for AI workloads

Success Factors

Deep understanding of both hardware and software engineering principles Ability to bridge communication between hardware and software teams Strong system-level thinking and architecture skills Experience with modern AI workloads and optimization techniques

Market Demand

Very High - The intersection of AI and hardware engineering skills is experiencing significant growth, particularly as major tech companies race to integrate AI capabilities into consumer devices.

Important Skills

Critical Skills

Hardware validation experience with modern verification methodologies Strong software development skills with focus on low-level optimization Understanding of AI workload characteristics and optimization techniques

Beneficial Skills

Experience with specific AI frameworks and tools Knowledge of power optimization techniques Familiarity with Intel's software development tools

Unique Aspects

Role combines traditional hardware engineering with emerging AI technology focus
Opportunity to influence next-generation AI PC architecture
Exposure to full stack development from silicon to software

Career Growth

2-3 years in role before advancement, depending on project success and organizational growth

Potential Next Roles

Technical Lead for AI Hardware Development Principal Engineer Architecture Lead Engineering Manager - AI Hardware

Company Overview

Intel Corporation

Intel is undergoing a significant transformation, heavily investing in AI capabilities across its product lines

Industry leader in semiconductor manufacturing with strong competitive position in PC and data center markets
Leixlip facility is one of Intel's major European R&D and manufacturing hubs
Engineering-driven culture with emphasis on innovation and technical excellence
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