Senior AI Software Engineer - Neuromorphic Computing

Intel Intel · Semiconductors · Oregon, Hillsboro, United States +2

Senior AI Software Engineer focused on developing and optimizing Intel's neuromorphic AI software stack, including compilers and runtime environments, for physical AI applications, particularly in robotics and edge AI.

What you'd actually do

  1. Design, implement and optimize Intel's neuromorphic AI compiler and runtime environment.
  2. Contribute to tools and infrastructure that enable performance analysis, verification, debugging, and optimization across the software stack.
  3. Integrate software stack into external ecosystems, particularly robotics and edge AI frameworks.
  4. Collaborate with internal compiler, hardware, systems teams and external customers to improve software quality, performance, and usability across the stack.

Skills

Required

  • 3+ years of experience developing AI compiler, runtime, performance, or systems software
  • 3+ years of experience architecting and implementing production-grade software systems
  • 3+ years of experience with production software development in Python and C/C++
  • 3+ years of experience with AI, deep learning, or optimization algorithms
  • Bachelor’s degree in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or in a STEM related field

Nice to have

  • Strong expertise in robotics or real-time systems including frameworks such as ROS2
  • Experience in low-level systems and accelerator programming (CUDA, LLVM, OneAPI, OpenCL, SYCL)
  • Experience in HW/SW co-design and hardware simulator development
  • Experience with effective agentic AI software engineering practices
  • Experience with parallel computing paradigms or spatial AI hardware accelerators
  • Expertise developing software architectures and managing software projects
  • Experience working effectively in cross functional teams spanning hardware, systems software, and applications
  • Prior contributions to open-source projects
  • Post graduate degree in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or in a STEM related field

What the JD emphasized

  • production-grade software systems
  • performance analysis
  • verification
  • debugging
  • optimization
  • robotics
  • edge AI frameworks
  • performance-critical code

Other signals

  • neuromorphic computing
  • AI compiler and runtime environment
  • physical AI systems
  • robotics and edge AI frameworks