Teaching Assistant - AI / Robotics
📌Al Madinah, Saudi Arabia 🇸🇦
⏱︎ full-time
🧙♂️ entry-level
The College of Computer and Cyber Sciences (C3S) at University of Prince Murgin (UPM) is hiring faculty members to fill a vacancie as Teaching Assistant in Artificial Intelligence Mechatronics / Robotics:
Functional Description:
The Teaching Assistant in the Artificial Intelligence (AI) Unit will primarily be responsible for managing AIrelated laboratory sessions, supporting faculty in research projects, and assisting in teaching-related activities. This role is essential in ensuring the effective delivery of AI courses and fostering a hands-on learning environment for students.
Major Duties and Responsibilities:
- Prepare, maintain, and oversee AI lab equipment, software, and resources.
- Conduct and supervise practical lab sessions, ensuring students effectively apply theoretical AI concepts.
- Assist students in debugging and troubleshooting AI-related coding issues and machine learning model implementation.
- Ensure the smooth operation of AI tools, frameworks, and computational resources.
- Assist faculty members in preparing course materials, assignments, and projects.
- Provide guidance to students in understanding AI concepts and applications.
- Conduct tutorial sessions or supplementary instruction when needed.
- Grade assignments, projects, and quizzes under faculty supervision.
- Assist faculty and students in AI-related research projects.
- Conduct literature reviews and help with data collection and analysis.
- Assist the preparation of research papers, presentations, and reports.
- Stay updated with the latest developments in AI, machine learning, and deep learning.
- Maintain records of lab activities and student performance in practical sessions.
- Ensure compliance with university policies and safety protocols within the lab.
- Participate in departmental meetings and contribute to curriculum development.
Required Education, Skills and Experience:
- Bachelor of Science in Electrical Engineering / Mechatronics, Robotics or Artificial Intelligence, Computer Science, Data Science, or a related field.
- Strong knowledge of AI, machine learning, deep learning, and related programming languages (Python, TensorFlow, PyTorch, etc.).
- Experience in conducting lab sessions and working with AI tools and frameworks.
- Research experience in AI-related projects is a plus.
- Prior teaching or tutoring experience is preferred.
- Excellent command of English language (spoken and written).
- Strong interpersonal, communication and organizational skills.
- High professional ethics.
Application Procedure:
- Please apply online and we will get in touch if the screening committee shortlists you for an interview.
The University of Prince Mugrin is located in Madinah, Saudi Arabia. It was founded in 2017.
UPM has the latest educational curricula in the Kingdom and advanced university education that includes the latest curricula and educational materials that support students to build a bright future.
Senior Embedded Software Engineer
@ Embedd 
What we're looking for
At embedd.it, we power hardware-software integration in embedded devices. We turn fragmented semiconductor chip data into configurable digital twins, then deterministically generate code, tests, and documentation – making integration faster, cheaper, and resilient to supply chain shocks.
We’re looking for a true legend – someone with abstract thinking and deep expertise in low-level software development. You’ll build vendor-agnostic tooling for MCU and peripheral integration to solve hardware-software integration once and for all. We work at the intersection of embedded systems, code generation, compilers, and machine learning. It’s your chance to help redefine how low-level development is done.
Responsibilities
- Drive the architecture of the driver structures and system layout
- Define scalable patterns for cross-architectural integration across bare-metal, Zephyr, Linux, and other environments
- Deconstruct complex SoC device trees and translate hardware descriptions into structured internal models for automated reasoning
- Partner with the ML team to shape data and annotation models for AI-driven data-extraction tooling
Qualifications
- 5+ years of experience in embedded systems development, including bare-metal and RTOS-based systems
- Proficiency in C/C++
- Familiarity with firmware configuration, SoC bring-up, and system-level debugging
- Hands-on experience with code generation tools, or low-level compiler/decompiler/emulator technologies
- Strong background in embedded toolchains: compilers, linkers, debuggers, and build systems
- Python or scripting for automation and tooling is a plus
- Experience with functional-safety standards is a plus
Why embedd.it?
- Dynamic, venture-backed team of engineers challenging the status quo 🚀
- Work at the intersection of embedded systems, code generators, compilers, and ML 🤖
- Unusual challenges requiring out-of-the-box abstract thinking 🧠
- Competitive compensation: cash + equity 💰
- Remote work possible 🌍
About Us
embedd.it is a UK-based startup reinventing embedded development. Our platform transforms unstructured semiconductor data into structured digital twins, enabling automatic generation of drivers, tests, and documentation. We're building a single, traceable source of truth to make integration fast, vendor-agnostic, and future-proof.
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