Neuromorphic Applications Engineer- (temporary Position)

Intel Intel · Semiconductors · Guadalajara, Mexico

This role focuses on demonstrating the value of Intel's neuromorphic technologies by developing, implementing, and benchmarking algorithms for next-generation neuromorphic architectures. The goal is to enable applications in edge computing, signal processing, and autonomous systems for physical AI, with a focus on robotics applications like VLA models for drones and humanoids. The role involves validating the neuromorphic SDK, gathering metrics, proposing software enhancements, and presenting findings. It's a fixed-term position within Intel's CTO Office, aiming to commercialize neuromorphic technology.

What you'd actually do

  1. Support the development and optimization of advanced AI algorithms and robotics applications for edge platforms powered by Intel's next-generation neuromorphic architecture.
  2. Evaluate and benchmark robotic applications-such as VLA models for drones and humanoids-on current and next-generation neuromorphic hardware.
  3. Validate Intel's neuromorphic SDK by running real-world robotics workloads, gathering metrics, and proposing targeted software enhancements to the core development team.
  4. Present findings and publish benchmark results in top-tier conferences and journals.

Skills

Required

  • Python
  • C++
  • deep/machine learning
  • mathematical optimization
  • AI frameworks (PyTorch, JAX, TensorFlow)
  • developing AI models for perception, reasoning, and control (e.g., YOLO, LLMs, or VLAs based on transformers or SSM architectures)
  • Software development best practices (OO design, testing, debugging, documentation, version control, code reviews)
  • English proficiency

Nice to have

  • experience with neuromorphic computing
  • experience with event-driven, sparse, and massively parallel neuro-inspired processing
  • experience with edge computing
  • experience with signal processing
  • experience with autonomous systems
  • experience with VLA models for drones and humanoids
  • experience with Intel's neuromorphic SDK

What the JD emphasized

  • physical AI systems
  • neuromorphic computing technology
  • AI algorithms and robotics applications
  • neuromorphic hardware
  • neuromorphic SDK
  • neuromorphic architecture
  • neuromorphic technology innovations
  • neuromorphic architecture
  • neuromorphic systems
  • brain-inspired computing
  • neuromorphic workloads
  • neuromorphic concepts
  • autonomous systems
  • neuromorphic and autonomous systems

Other signals

  • neuromorphic computing
  • physical AI
  • edge computing
  • robotics applications
  • benchmarking algorithms