8 Robotics jobs in Saudi Arabia

• Collaborate with multidisciplinary teams for the development and implementation of robotics solutions.
• Handle system integration and testing of robotic OEM platforms (using SDKs) with Yokogawa Systems.
• Evaluate and integrate third-party systems (HW/SW) to Yokogawa Systems.
• Explore new technologies in line with customer requirement/ new use cases on robotics and develop a pilot trial methodology/ proposal.
• Collaboration with various robotics OEMs to scope out data integration, perform site trials, troubleshooting and improvements on autonomous robotics platforms.
• Provide technical support to field operators and other stakeholders.
• Conduct feasibility studies for robotics implementation and value add for customers with adoption of robotics technologies.
• Carry out site survey with field risk assessment and develop appropriate implementation plans for robotics solutions.
• Need to be up to date with the latest advancements in robotics and field inspection technologies. (ex. IIoT)
  
  

• Bachelor’s or Master’s degree in Robotics / Mechatronics, Electrical/ Electronic or similar fields.
• Minimum 3 years of experience in field robotics implementation, robotics inspections, and integration of robotics platforms using OEM SDKs.
• Experience on implementation/pilot trials with autonomous inspection robotics platforms.
• Experience in project management working with interdisciplinary teams
• Experience in Oil & Gas and/or Utilities.
  
  

• Proficiency in programming languages such as Python, C++, MATLAB etc.
• Proven experience with robotics simulation tools and environments (e.g. ROS, ROS 2) , SLAM Algorithms etc.
• Familiarity with Git-based workflows
• Strong knowledge of the latest AI developments, with experience in AI training, data selection, and proficiency in Python for AI tasks and integration.
• Strong knowledge of robotics systems (hardware – example ExRobotics, Boston Dynamics, ANYBotics, MHI, Taurob, Deep Robotics etc), including sensor payloads and safety standards (hazardous area classifications).
• Familiar with robot communication networking aspects – 4G,5G, On-premises/Cloud infrastructure etc.
• Knowledge of Linux Systems
  
  

• Proficiency in spoken and written English
• Strong problem-solving skills and communication skills to articulate technical concepts to non-technical stakeholders
• Familiar with CAD, SolidWorks etc.
• Familiar with Industry 4.0 and IoT
  
  

Yokogawa, award winner for ‘Best Asset Monitoring Technology’ and ‘Best Digital Twin Technology’ at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.

Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.

About the Team
Our 18,000 employees work in over 60 countries with one corporate mission, to "co-innovate tomorrow". We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.

Key Responsibilities & Accountabilities:

• Collaborate with multidisciplinary teams for the development and implementation of robotics solutions.
• Handle system integration and testing of robotic OEM platforms (using SDKs) with Yokogawa Systems.
• Evaluate and integrate third-party systems (HW/SW) to Yokogawa Systems.
• Explore new technologies in line with customer requirement/ new use cases on robotics and develop a pilot trial methodology/ proposal.
• Collaboration with various robotics OEMs to scope out data integration, perform site trials, troubleshooting and improvements on autonomous robotics platforms.
• Provide technical support to field operators and other stakeholders.
• Conduct feasibility studies for robotics implementation and value add for customers with adoption of robotics technologies.
• Carry out site survey with field risk assessment and develop appropriate implementation plans for robotics solutions.
• Need to be up to date with the latest advancements in robotics and field inspection technologies. (ex. IIoT)

Qualification and Experience:

• Bachelor’s or Master’s degree in Robotics / Mechatronics, Electrical/ Electronic or similar fields.
• Minimum 3 years of experience in field robotics implementation, robotics inspections, and integration of robotics platforms using OEM SDKs.
• Experience on implementation/pilot trials with autonomous inspection robotics platforms.
• Experience in project management working with interdisciplinary teams
• Experience in Oil & Gas and/or Utilities.
• Proficiency in programming languages such as Python, C++, MATLAB etc.
• Proven experience with robotics simulation tools and environments (e.g. ROS, ROS 2) , SLAM Algorithms etc.
• Familiarity with Git-based workflows
• Strong knowledge of the latest AI developments, with experience in AI training, data selection, and proficiency in Python for AI tasks and integration.
• Strong knowledge of robotics systems (hardware – example ExRobotics, Boston Dynamics, ANYBotics, MHI, Taurob, Deep Robotics etc), including sensor payloads and safety standards (hazardous area classifications).
• Familiar with robot communication networking aspects – 4G,5G, On-premises/Cloud infrastructure etc.
• Knowledge of Linux Systems

Skills:

• Proficiency in spoken and written English
• Strong problem-solving skills and communication skills to articulate technical concepts to non-technical stakeholders
• Familiar with CAD, SolidWorks etc.
• Familiar with Industry 4.0 and IoT

Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.

Are you being referred to one of our roles? If so, ask your connection at Yokogawa
about our Employee Referral process!

Yokogawa, award winner for ‘Best Asset Monitoring Technology’ and ‘Best Digital Twin Technology’ at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.

Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.

Our 18,000 employees work in over 60 countries with one corporate mission, to "co-innovate tomorrow".

We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.

The College of Computer and Cyber Sciences (C3S) at University of Prince Murgin (UPM) is hiring faculty members to fill a vacancy as a Teaching Assistant in Artificial Intelligence, Mechatronics / Robotics .

Functional Description:

The Teaching Assistant in the Artificial Intelligence (AI) Unit will primarily be responsible for managing AI-related laboratory sessions, supporting faculty in research projects, and assisting in teaching activities. This role is essential for 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 models.
• Ensure the smooth operation of AI tools, frameworks, and computational resources.
• Assist faculty in preparing course materials, assignments, and projects.
• Guide 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, including literature reviews, data collection, and analysis.
• Help prepare 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.
• Ensure compliance with university policies and safety protocols.
• Participate in departmental meetings and contribute to curriculum development.

Required Education, Skills, and Experience:

• Bachelor's degree in Electrical Engineering, Mechatronics, Robotics, Artificial Intelligence, Computer Science, Data Science, or related fields.
• Strong knowledge of AI, machine learning, deep learning, and programming languages such as Python, TensorFlow, PyTorch.
• Experience in conducting lab sessions and working with AI tools and frameworks.
• Research experience in AI projects is a plus.
• Prior teaching or tutoring experience is preferred.
• Excellent command of English (spoken and written).
• Strong interpersonal, communication, and organizational skills.
• High professional ethics.

Application Procedure:

• Please apply online. Shortlisted candidates will be contacted for an interview.

The University of Prince Mugrin is located in Madinah, Saudi Arabia, established in 2017. It offers the latest curricula and advanced educational materials to support students in building a bright future.

Build the ML infrastructure powering Saudi Arabia's financial transformation.

We're Aajil (previously BuildNow), backed by leading regional VCs and operating at the heart of Saudi Arabia's $50B+ SME market. We've already revolutionized lending timelines from 3 months to hours. Now we're building what's next: real-time, intelligent credit decisions that will transform how millions of SMEs access capital.

As Machine Learning Lead, you'll architect the intelligence layer for the Kingdom's most ambitious fintech. With exclusive access to the data we have, you'll build ML systems that don't exist anywhere in the region — yet.

Saudi Arabia is experiencing the world's most ambitious economic transformation. Vision 2030 has created unprecedented opportunities for those bold enough to seize them. The government is digitizing at breakneck speed, regulations are evolving in real-time, and there's genuine will to make the Kingdom a global fintech hub.

This isn't another "emerging market" story. This is ground zero for building financial infrastructure that will define the next decade.

You'll lead our ML efforts from our Riyadh headquarters, building systems that process billions in BNPL decisions:

• Own the evolution from hours → minutes → real-time credit decisions
• Build and lead a world-class ML team, mixing top Saudi talent with international experts
• Architect production ML systems handling thousands of daily decisions with 99.9% uptime

Essential Experience:

• 8+ years building and deploying ML systems in production environments
• Proven track record leading ML teams and delivering business impact
• Deep expertise in credit risk, fraud detection, or financial ML systems
• Experience with real-time ML serving, feature stores, and MLOps at scale
• Strong engineering fundamentals and architectural thinking
• Track record of hiring and developing exceptional ML talent

The X-Factors:

• You've built ML systems that handle serious money and serious scale
• You've worked in high-growth environments where perfect is the enemy of shipped
• You're excited by exclusive data access and building unique competitive advantages
• You see the opportunity in Saudi Arabia while others see only challenges

Unprecedented Opportunity : The Kingdom is investing billions in digital transformation. Your work here will have 10x the impact of mature markets.

Exclusive Data Access : Through government partnerships, we have data advantages that otherstartups dream of. Tens of millions of transactions— this is your ML playground.

This role isn't for everyone. It's for ML leaders who see massive opportunity where others see risk. Who want to build something that matters, not optimize something that already works.

Send us:

1. Your GitHub/papers/portfolio — show us what you've built at scale
2. A brief note on why Saudi Arabia, why now, why Aajil — we want missionaries, not mercenaries

P.S. We've already automated credit assessments from the industry standard of 3 months to hours in one of the world's most complex markets. If you think that's just the beginning of what's possible, we should talk.

Location : Riyadh, Saudi Arabia (relocation support provided)

Start Date : Q3 2025

Build the ML infrastructure powering Saudi Arabia's financial transformation.

We're Aajil (previously BuildNow), backed by leading regional VCs and operating at the heart of Saudi Arabia's $50B+ SME market. We've already revolutionized lending timelines from 3 months to hours. Now we're building what's next: real-time, intelligent credit decisions that will transform how millions of SMEs access capital.

As Machine Learning Lead, you'll architect the intelligence layer for the Kingdom's most ambitious fintech. With exclusive access to the data we have, you'll build ML systems that don't exist anywhere in the region — yet.

Saudi Arabia is experiencing the world's most ambitious economic transformation. Vision 2030 has created unprecedented opportunities for those bold enough to seize them. The government is digitizing at breakneck speed, regulations are evolving in real-time, and there's genuine will to make the Kingdom a global fintech hub.

This isn't another "emerging market" story. This is ground zero for building financial infrastructure that will define the next decade.

You'll lead our ML efforts from our Riyadh headquarters, building systems that process billions in BNPL decisions:

• Own the evolution from hours → minutes → real-time credit decisions
• Build and lead a world-class ML team, mixing top Saudi talent with international experts
• Architect production ML systems handling thousands of daily decisions with 99.9% uptime

Essential Experience:

• 8+ years building and deploying ML systems in production environments
• Proven track record leading ML teams and delivering business impact
• Deep expertise in credit risk, fraud detection, or financial ML systems
• Experience with real-time ML serving, feature stores, and MLOps at scale
• Strong engineering fundamentals and architectural thinking
• Track record of hiring and developing exceptional ML talent

The X-Factors:

• You've built ML systems that handle serious money and serious scale
• You've worked in high-growth environments where perfect is the enemy of shipped
• You're excited by exclusive data access and building unique competitive advantages
• You see the opportunity in Saudi Arabia while others see only challenges

Unprecedented Opportunity : The Kingdom is investing billions in digital transformation. Your work here will have 10x the impact of mature markets.

Exclusive Data Access : Through government partnerships, we have data advantages that otherstartups dream of. Tens of millions of transactions— this is your ML playground.

This role isn't for everyone. It's for ML leaders who see massive opportunity where others see risk. Who want to build something that matters, not optimize something that already works.

Send us:

1. Your GitHub/papers/portfolio — show us what you've built at scale
2. A brief note on why Saudi Arabia, why now, why Aajil — we want missionaries, not mercenaries

P.S. We've already automated credit assessments from the industry standard of 3 months to hours in one of the world's most complex markets. If you think that's just the beginning of what's possible, we should talk.

Location : Riyadh, Saudi Arabia (relocation support provided)

Start Date : Q3 2025

As a Senior Machine Learning Engineer specializing, you will lead the development and implementation of machine learning algorithms and models to enhance our mapping and location-based services. You will be responsible for leveraging machine learning techniques to extract insights, automate processes, and improve the accuracy and relevance of our map data.

Key Responsibilities:

1. Algorithm Development: Lead the design, development, and optimization of machine learning algorithms and models for various mapping applications, including data analysis, feature extraction, image processing, and predictive modeling.
2. Data Processing and Analysis: Collaborate with data engineers to preprocess, clean, and analyze map data, including satellite imagery, LiDAR data, and point cloud data, to extract relevant features and patterns.
3. Model Training and Evaluation: Train, validate, and evaluate machine learning models using large-scale datasets to achieve high accuracy, robustness, and scalability for mapping applications, such as road detection, object recognition, and semantic segmentation.
4. Integration and Deployment: Integrate machine learning models into existing mapping systems and workflows, ensuring seamless deployment and interoperability with other software components. Collaborate with software engineers to develop APIs and interfaces for model integration.
5. Performance Optimization: Optimize machine learning algorithms and models for performance, efficiency, and scalability, including algorithm parallelization, hardware acceleration, and deployment on cloud platforms.
6. Research and Innovation: Stay updated on the latest advancements in machine learning, computer vision, and geospatial technologies, and apply innovative techniques to solve mapping-related challenges and drive continuous improvement.

Qualifications:

• Master's or Ph.D. degree in computer science, machine learning, artificial intelligence, or a related field.
• 5 years of experience in machine learning research and development, with a focus on computer vision, geospatial analysis, or mapping applications.
• Proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, and OpenCV.
• Strong programming skills in Python, C++, or another relevant language, with experience in software development and version control systems.
• Experience with geospatial data processing and analysis tools, such as GDAL, PostGIS, and QGIS.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Effective communication and leadership skills, with experience mentoring junior team members and collaborating with cross-functional teams.