AI Robotics Engineer- (temporary Position)

Intel Intel · Semiconductors · Guadalajara, Mexico

Develop, implement, and benchmark advanced robotics algorithms optimized for modern heterogeneous Intel compute architectures, enabling high performance and efficient solutions for real-world applications in autonomous systems, edge robotics, and intelligent physical systems. This role involves integrating and simulating large-scale robotics systems and bringing real robotic platforms to life, with a focus on commercializing these technologies for future Intel and partner products.

What you'd actually do

  1. Optimize and implement advanced algorithms across modern heterogeneous Intel architectures, ensuring maximum efficiency for real-world intelligent physical systems.
  2. Integrate and simulate large scale robotics systems within modern simulation environments.
  3. Integrate and bring real robotic platforms to life to solve edge level challenges and applications.
  4. Author and publish results in top-tier conferences/journals.

Skills

Required

  • Artificial intelligence algorithms and techniques, including machine learning, neural networks, and natural language processing.
  • Programming languages such as Python, C++, MATLAB, or similar.
  • Hands-on work with robotics hardware and software, including sensors, actuators, and embedded systems.
  • Design, implementation, and evaluation of robotic systems.
  • AI and robotics tools and frameworks, such as TensorFlow, PyTorch, ROS2 (Robot Operating System), and OpenCV.
  • Design, implementation, and evaluation of integrated circuits.

Nice to have

  • MSc or PhD program in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Physics, or a related field.

What the JD emphasized

  • deploying highly optimized AI algorithms
  • severely constrained edge platforms
  • multi-robot orchestration
  • human-robot interaction
  • scaling this expertise from advanced research into production-ready innovation
  • hardened algorithms for critical, real-world environments
  • tailoring advanced AI models specifically for Intel compute architectures
  • high-performance, cloud-independent edge solutions
  • autonomous systems that operate at the absolute edge of performance
  • Performance‑Obsessed Problem Solver
  • balancing accuracy, latency, power, and reliability in real‑world conditions
  • Systems‑Oriented Engineer
  • Research‑to‑Production Driver
  • Hands‑On Experimentalist
  • Adaptable Under Constraints
  • operate effectively at the edge, without reliance on cloud resources
  • Product‑Impact Mindset
  • commercial-grade, cloud-independent AI robotics solutions

Other signals

  • deploying highly optimized AI algorithms
  • scaling this expertise from advanced research into production-ready innovation
  • tailoring advanced AI models specifically for Intel compute architectures
  • delivering high-performance, cloud-independent edge solutions
  • build autonomous systems that operate at the absolute edge of performance