Embedded Camera Developer

geotab; Dubai; On-site; AED 180,000 - 300,000; Full time

Job summary

Geotab is seeking an Embedded Camera Developer to design, develop, and optimize firmware for AI-enabled camera devices running Embedded Linux. The role focuses on high-performance image processing pipelines, power management for edge deployments, and secure data handling.

You will work closely with hardware and cross-functional teams to deliver robust, scalable camera solutions, writing clean, well-documented code and participating in code reviews in a fast-paced environment.

Qualifications

• 5+ years in image processing pipelines, video streams, and Linux user-space development.
• Degree in CS, CE, EE or equivalent.
• Strong C/C++ skills for concurrent, embedded systems.

Responsibilities

• Design, develop, and test embedded firmware for AI-enabled camera systems using C/C++, including architectural input on camera subsystem design.
• Integrate and optimize ISP pipelines, video encoding/decoding modules.
• Develop in-depth understanding of Geotab IoT devices firmware and how modules work.
• Collaborate with hardware teams for low-level hardware–software co-design.
• Write unit, integration, and system tests (Pytest, Robot Framework) and maintain documentation.

Skills

C/C++

Embedded Linux

Image processing

Multithreading

Unit testing

Python

Education

Diploma/Degree in CS/CE/EE

Tools

Pytest

Robot Framework

Job description

Who we are:

Geotab ® is a global leader in IoT and connected transportation and certified "Great Place to Work™." We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities.

Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab's open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes.

Our team is growing and we're looking for people who follow their passion, think differently and want to make an impact. Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab. To see what it's like to be a Geotabber, check out our blog and follow us @InsideGeotab on Instagram.

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking an Embedded Camera Developer who will design, develop, and optimize the firmware stack for Geotab's AI-enabled camera devices . If you love technology, and are keen to join an industry leader - we would love to hear from you !

What you'll do:

As an Embedded Camera Developer your key area of responsibility will be writing and testing high-quality code within Embedded Linux environments, implementing high-performance code for image processing pipelines, managing power consumption for edge-deployment, ensuring robust data integrity and security, and collaborating with cross-functional technical teams to deliver stable, scalable camera solutions . You will need to work closely with hardware teams and cross-functional technical teams .

To be successful in this role you will be a self-starter, highly organized, meticulous, with high attention to detail, and a strong team player who can research and solve open-ended design problems while communicating complex technical decisions effectively . In addition, the successful candidate will have strong technical, analytical, and troubleshooting skills, with the ability to manage priorities among multiple tasks in a fast-paced environment.

How you'll make an impact:

• Design, develop, and test embedded firmware for AI-enabled camera systems using C/C++, including architectural input on camera subsystem design .
• Integrate and optimize ISP pipelines, video encoding/decoding modules .
• Develop an in-depth understanding of the Geotab IoT devices (such as telematics devices, extendibility products, asset trackers, Video products) firmware and how various modules work .
• Collaborate with hardware teams to interpret data sheets and ensure seamless component integration through low-level hardware-software co-design .
• Root causes and resolves complex firmware issues, including streaming latency, frame reordering, system crashes, and memory bottlenecks. Debug firmware issues using specialised tools (logic analyzer, oscilloscopes, JTAG, signal analyzers for MIPI-CSI) when necessary to troubleshoot hardware-software integration issues .
• Develop unit, integration, and system-level tests (e.g., Pytest, Robot Framework) to validate feature requirements in real and simulated camera environments .
• Participate in modular, reusable, hardware independent software/firmware development practices and adhere to test driven development principles .
• Write scalable, high quality, secure embedded software using Geotab's development standards in a variety of programming languages like C, C++, Python for Embedded Linux as required .
• Documentation: Maintain accurate technical documentation for firmware architectures, interfaces, and debugging procedures .
• Conduct comprehensive testing and code reviews to ensure that industry coding standards are followed.

What you'll bring to the role:

• 5+ years of technical experience in development of image processing pipelines, video streams, object-oriented design, multithreaded programming, unit testing, and Linux platform development (user-space) .
• Post-secondary Diploma/Degree with specialization in Computer Science, Computer Engineering, Electrical Engineering, or a related field (or equivalent combination of education and work experience) .
• High proficiency in C/C++ for concurrent systems, experience in preemptive, multi-threaded Embedded Lin