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Intel Corporation Logo

Cloud Software Development Engineer

Intel Corporation

$52,000 - $200,000
Oct 8, 2025
Hillsboro, OR, US
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The System, Software and Simulation (S3E) Engineering team is supporting the software-first strategy through early robust system simulators. We are transforming the way our product firmware and software are developed and simulated in a modern cloud computing environment. We deliver an integrated functional, performance, power, and thermal simulation several quarters before the first silicon. Great simulators result in leadership products by simulating our architecture and software before committing to our product execution.

Requirements

  • 3+ years of experience in system software development with C, C++ or System C, DML (device modeling language), and python.
  • 3+ years of experience architecting, designing and implementing complex software projects.
  • Experience of the data center, AI product architecture, and systems simulation.
  • Experience with IA Architecture, leading BIOS, OS integration and bring-up on pre-Silicon platforms including Simics, Emulation, FPGA, hybrid platforms.
  • Experience with one of the domains(s) including Reliability, Availability, and Serviceability (RAS), Power Management, CXL, Memory Reference Code (MRC), Memory controller is a plus.

Responsibilities

  • Understanding of Intel Xeon and AI products and how they address key needs in the datacenter and AI industry.
  • Has good understanding of the technical concepts, architecture, systems, development methods associated with the data center and AI platforms.
  • Good understanding of Pre-Silicon technology like System simulation, Virtual Prototype, FPGA, Emulation and hybrid technologies.
  • Partners with Design team, BIOS/Software/Firmware team(s) on feature development and integration plan, pre-si validation schedule, system debug and resolution.

Other

  • Must be resourceful and be comfortable and adaptable working in fast-paced environment with tight deadlines.
  • Strong self-initiative and persistence, comfortable driving clarity in key areas with high degrees of ambiguity.
  • Detail orientated to gather, analyze and interpret data to drive strategy and decisions.
  • Is the key interface with stakeholders and leadership internally and externally.
  • Strong stakeholder management is must. Is willing to manage complex and diverse stakeholders across geos to deliver products.