IoT Solutions Engineer in SAUDI ARABIA

SUSTECH is expanding its IoT team in Riyadh and looking for an experienced IoT Solutions Engineer. If you have a strong technical background in sensor integration, cloud connectivity, and end-to-end system design—and you're ready to make a real impact—this might be the opportunity for you.

Check out details below on the role, key responsibilities, required skills, and the perks we offer, including competitive compensation, relocation support, and opportunities for professional growth.

Ready to take the next step in your IoT career? Apply now or share with someone who might be the perfect fit.

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Key Responsibilities

• End-to-End System Design:
• Architect and implement complete IoT solutions from sensor selection and hardware integration to cloud connectivity and data analytics. This involves designing scalable, secure, and efficient systems tailored to customer or business requirements.
• Sensor & Device Integration:
• Oversee the integration of various sensors and IoT devices with the platform. This includes selecting appropriate hardware, configuring communication protocols, and ensuring reliable data transmission.
• Firmware & Software Coordination:
• Collaborate with firmware engineers to ensure that sensor data is correctly captured and transmitted. While the IoT Solutions Engineer may not write extensive low-level code, a solid understanding of embedded systems and firmware helps in bridging hardware and software.
• Cloud & Data Platform Integration:
• Work closely with cloud architects and data engineers to set up data ingestion, storage, and analytics pipelines. Ensure that IoT devices seamlessly communicate with cloud services using protocols such as MQTT, HTTP, or CoAP.
• Security & Scalability:
• Implement security best practices across the entire IoT ecosystem—from secure device onboarding and firmware updates to cloud-side authentication and data encryption. Plan for scalability to handle increasing numbers of devices and data volumes.
• Project Management & Client Engagement:
• Manage IoT projects by coordinating between cross-functional teams, defining project milestones, and ensuring that the final solution meets technical and business requirements. Often, this role involves working directly with clients to understand needs and translate them into technical solutions.

Essential Skills & Qualifications

• Broad Technical Expertise:
• A well-rounded background in both hardware and software, with familiarity in sensor technology, embedded systems, networking, and cloud computing. Experience with microcontrollers and IoT development boards (e.g., Arduino, ESP32, Raspberry Pi) is beneficial.
• Embedded Systems & Firmware Knowledge:
• While not the primary coder, having a strong understanding of firmware principles (e.g., C/C++ programming, RTOS, sensor interfacing) is crucial for effective collaboration with technical teams.
• Cloud Platform Experience:
• Proficiency with IoT cloud platforms (AWS IoT, Azure IoT Hub, Google Cloud IoT, etc.) and experience in integrating devices with these systems. Familiarity with data ingestion, storage, and real-time analytics tools is a plus.
• Networking & Protocols:
• In-depth understanding of communication protocols (MQTT, HTTP, CoAP, Bluetooth, Zigbee) and networking basics to ensure reliable connectivity between devices and the cloud.
• Security Practices:
• Knowledge of security measures in IoT systems, including secure boot, encryption, device authentication, and secure firmware updates.
• Project Management & Communication:
• Strong project management and communication skills to coordinate between technical teams and stakeholders. Ability to translate complex technical concepts into clear business requirements.
• Education & Experience:
• A degree in Electrical Engineering, Computer Science, or a related field is common. Relevant industry certifications or a track record of successful IoT deployments can further distinguish a candidate.

Recommended Tools & Technologies

• Hardware Platforms:
• Familiarity with microcontrollers (ARM Cortex, AVR, ESP32), single-board computers (Raspberry Pi), and a variety of sensors (temperature, humidity, motion, etc.).
• Development Tools:
• Use of IDEs and toolchains for embedded development (e.g., Arduino IDE, PlatformIO) as well as cloud development environments. While heavy coding may not be required, understanding development processes is important.
• Cloud Services:
• Experience with AWS IoT, Azure IoT Hub, Google Cloud IoT, or similar platforms. Tools for managing device connectivity, data storage, and real-time analytics should be well-known.
• Project & Collaboration Software:
• Tools such as Git for version control, JIRA or Trello for project management, and documentation platforms like Confluence or Google Docs to maintain records and facilitate team collaboration.