Neuromorphic/ai Research Scientist

Intel Intel · Semiconductors · California, Santa Clara, United States

Research Scientist role focused on developing and benchmarking AI algorithms for Intel's next-generation neuromorphic architecture, targeting edge computing, signal processing, and autonomous systems. The role involves implementing and evaluating algorithms on neuromorphic hardware, validating the SDK, and presenting findings.

What you'd actually do

  1. Support the development and optimization of advanced AI algorithms and signal processing applications for edge platforms powered by Intel's next-generation neuromorphic architecture.
  2. Evaluate and benchmark signal processing algorithms on current and next-generation neuromorphic hardware.
  3. Validate Intel's neuromorphic SDK by running real-world signal processing workloads, gathering metrics, and proposing targeted software enhancements to the core development team.
  4. Present findings internally and to collaborators.

Skills

Required

  • PhD program in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Physics, or a related field.
  • 1+ years of experience writing clean, efficient and modular Python and C++ code.
  • 1+ years of experience developing AI models for signal processing, perception, reasoning, and control.
  • 1+ years of experience with software development best practices (OO design, testing, debugging, documentation, version control, code reviews).
  • 1 peer-reviewed publications.

Nice to have

  • Experience with edge AI HW accelerators or event-based sensors.
  • Exposure to neuroscience and neurobiology-inspired algorithms.
  • Experience in developing software for robotics or other real-time control systems.
  • Experience with profiling and benchmarking algorithms and hardware architectures.
  • Strong problem-solving and communication skills.

What the JD emphasized

  • neuromorphic computing
  • next-generation neuromorphic architecture
  • physical AI
  • edge computing
  • signal processing
  • autonomous systems
  • peer-reviewed publications

Other signals

  • neuromorphic computing
  • edge computing
  • physical AI
  • next-generation neuromorphic architecture
  • signal processing
  • autonomous systems