Senior Embedded Software Engineer - Smart Cameras & Vision
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Role details
Tech stack
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Job description
- Design the embedded software architecture of our smart cameras on NVIDIA Jetson platforms
- Develop and optimize real-time image processing and analysis pipelines
- Develop and integrate modules in C++ and Python on embedded Linux
- Handle camera stream acquisition and processing (calibration, pre-processing, encoding)
- Design and implement sensor fusion between multiple sources (additional cameras, LiDAR, radar) for robust detection
- Deploy and optimize vision/inference models on the edge (TensorRT, CUDA)
- Apply security best practices to our embedded systems and data flows
- Optimize performance: real-time constraints, latency, memory footprint, power consumption
- Provide technical leadership and mentor junior engineers
- Contribute to hardware/software architecture decisions together with the hardware and R&D teams, At Macq, we are committed to diversity, equal opportunities and inclusion. Our diversity plan ensures that all candidates are considered regardless of age, gender, origin, disability or any other personal characteristic. We believe that diverse teams foster creativity, innovation and excellence.
Based on the aptitude analysis carried out with the Actiris framework, the following factors have been identified for this position:
- Activities very often required:
- See
- Hear
- Look at a screen for long periods
- Visualize small details
- Move hands
- Move fingers
- Understand simple instructions
- Analyze a problem, a situation, …
- Memorize, retain information
- Write and understand written information
- Manage numerical operations
- Sustain prolonged mental effort
- Establish social relations
- Work in a team
- Work autonomously
-
Take initiatives * Activities sometimes required:
- Visualize spatial extent and movement
- Remain seated
- Change position
- Move upper body
- Use arms/shoulders
- Move torso/trunk
- Move head
- Understand complex instructions
- Be attentive/concentrated
- Learn new tasks
- Make decisions
- Be patient
- Resist stress
- Resist noise
- Resist indoor working conditions
Requirements
- You have a Master’s degree in Computer Science, Electronics Engineering or you are equal by experience
- Minimum 5 years of experience in embedded software development, ideally in vision or imaging
- Strong proficiency in Modern C++ and Python
- In-depth knowledge of embedded Linux
- Expertise in image processing (OpenCV or similar) and real-time pipelines
- Solid understanding of real-time constraints and low-level optimization
- Fundamentals of security for embedded and connected systems
- Autonomous, with technical leadership skills and a collaborative mindset
- You are fluent in English; French and/or Dutch is a plus
Also nice to have:
- Hands-on experience with the NVIDIA Jetson ecosystem (JetPack, DeepStream, TensorRT)
- Experience with multi-sensor fusion (camera-camera, camera-LiDAR, camera-radar) and state estimation (e.g. Kalman filtering)
- Knowledge of embedded security practices (secure boot, encryption, secure communication, system hardening)
Benefits & conditions
An attractive remuneration package and fringe benefits in-line with your experience Experience in a growing Belgian company on the international market A varied job, where you will be continually expanding your knowledge A high-tech environment that is full of creative and technical talent Guided career development opportunities
About the company
Founded in 1923 in Brussels, Macq is a company of experts and engineers grouped together around a single mission: innovating every day to simplify its customers’ professions. Our company is now an essential partner for Traffic and Automation-related professions because we have always earned customer trust.
We develop smart cameras that improve mobility and increase road user safety, analyzing video streams in real time to detect road users and traffic events, protect vulnerable road users, and make traffic safer and smoother. As a Senior Engineer, you’ll be at the heart of our embedded vision R&D, tackling complex, real-time computer vision challenges with a direct, tangible impact.
If that sounds like your kind of challenge, you might be who we’re looking for!
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