Principal Engineer, AI Systems and Solutions

Intel Intel · Semiconductors · Oregon, Hillsboro, United States

Principal Engineer, AI Systems and Solutions at Intel, focusing on designing and developing integrated AI systems (hardware, software, firmware, silicon) for industries like autonomous driving, robotics, and cloud. The role involves leading AI systems architecture, defining components, and innovating in areas like reinforcement learning, computer vision, and simulation, with a strong emphasis on productization and end-to-end solution delivery.

What you'd actually do

  1. Design and develop integrated AI solutions, including deep learning and machine learning systems, that meet customer requirements and operational constraints.
  2. Serve as a key contributor to AI systems architecture, translating business opportunities into actionable use cases and product specifications.
  3. Lead the definition of hardware and software components, ensuring performance optimization, reliability, and maintainability across the system lifecycle.
  4. Develop and innovate in areas such as reinforcement learning, policy learning, computer vision, simulation, and robotics.
  5. Lead the implementation and integration of AI systems, deploying solutions, executing benchmarks, and delivering technical documentation.

Skills

Required

  • AI systems and solutions
  • deep learning models
  • systems architecture
  • solution design
  • systems validation
  • end-to-end technical solutions
  • deep learning frameworks
  • Python
  • C++
  • AI infrastructure tools
  • disciplined execution
  • delivering complex technical projects to market

Nice to have

  • reinforcement learning
  • autonomous systems
  • sim2real applications
  • advanced memory technologies
  • security technologies
  • operating system technologies

What the JD emphasized

  • AI systems and solutions
  • deep learning models
  • systems architecture
  • solution design
  • systems validation
  • end-to-end technical solutions
  • deep learning frameworks
  • Python or C++
  • AI infrastructure tools
  • disciplined execution
  • delivering complex technical projects to market
  • reinforcement learning
  • autonomous systems
  • sim2real applications

Other signals

  • AI systems and solutions
  • deep learning and machine learning systems
  • AI product roadmap
  • autonomous driving
  • robotics
  • cloud systems