Senior Sensor Fusion & Edge AI Engineer Job in Belgium (imec)

📍 Location: eu

🏷 Type: Not specified

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Job Overview

This role targets a Senior-Level Edge AI Architect operating at the intersection of multisensor perception systems, embedded AI, and hardware-software co-design. Based at imec in Leuven, the position is ideal for candidates with 5–8+ years experience who can translate advanced mathematical models into production-grade systems. You will lead the development of real-time, low-power AI pipelines deployed on edge devices, bridging algorithmic research with hardware implementation in highly constrained environments.

🌍 Work Eligibility & Location

🌍 Visa Sponsorship: Not explicitly stated
✈️ Relocation Support: Likely available for senior hires
🏠 Remote Type: Onsite
⏰ Timezone Requirement: CET (Central European Time)
🌐 Country Restrictions: None specified
🗣️ Language Requirement: English (professional level)

This is a Onsite position in Belgium at imec’s headquarters, a global hub for semiconductor R&D. While visa sponsorship is not explicitly confirmed, imec regularly hires international talent, making this role accessible to global candidates with strong technical backgrounds willing to relocate.

💰 Salary Intelligence

💰 Official Salary: Not disclosed
📊 Estimated Range: €85,000 – €120,000+
📈 Level: Senior-Level

For a Senior-Level role in Belgium’s deep tech sector, compensation is competitive. The estimated €85K–€120K+ range aligns with advanced R&D engineering roles involving edge AI, embedded systems, and sensor fusion. Additional benefits such as research exposure, training via imec.academy, and long-term innovation impact significantly enhance total compensation value.

📊 Role Breakdown

This role centers on architecting end-to-end sensor fusion pipelines that integrate Radar, LiDAR, IMUs with edge-deployed AI models. Approximately 40% of the work focuses on system architecture and design, translating complex perception challenges into scalable implementations. Another 30% involves hardware-software co-design, optimizing deep learning inference under strict constraints like latency, power, and memory bandwidth. Around 20% is dedicated to algorithm development, including EKF/UKF state estimation and spatio-temporal calibration. The remaining 10% targets benchmarking and validation, ensuring performance trade-offs between accuracy and efficiency are systematically evaluated. You will drive cross-functional alignment between research, embedded engineering, and platform teams while ensuring systems meet real-world robustness and fail-safe requirements.

🧩 Required Skills & Fit

✅ Must: Deep expertise in sensor fusion, EKF/UKF, and state estimation
✅ Must: Strong experience with embedded AI deployment and optimization
✅ Must: Proficiency in C/C++ and Python for high-performance systems
➕ Bonus: FPGA toolchains (Xilinx, Intel/Altera)
➕ Bonus: Experience with Radar, LiDAR, and IMU data pipelines

📈 Difficulty & Competitiveness

⚡ Level: High
📊 Experience barrier: 5–8+ years
🧠 Skill complexity: Advanced multidisciplinary
🌍 Competition: Global, highly selective

This is a high-difficulty Senior-Level role requiring 5–8+ years of specialized experience. The combination of deep math, embedded systems, and AI optimization significantly narrows the candidate pool. Expect competition from candidates with PhDs and strong industry deployment records. Demonstrating real-world system delivery is essential to stand out.

🚀 Career Impact

⭐ Impact Rating: ⭐⭐⭐⭐☆
🏢 Brand value: Top-tier semiconductor R&D leader
📚 Skill growth: Advanced edge AI and hardware co-design
🚀 Future opportunities: Principal architect, AI systems leader

Working at imec offers high-impact career acceleration in deep tech. You gain exposure to cutting-edge semiconductor innovation, positioning you for principal-level roles, AI systems leadership, or research-director tracks. The blend of academic rigor and industrial application strengthens both technical depth and strategic influence.

📋 Key Responsibilities

You will architect multisensor fusion systems integrating Radar, LiDAR, and IMU data into real-time perception pipelines. A major focus is to optimize AI inference on embedded edge platforms, ensuring efficiency under strict power and latency constraints. You will develop and refine state estimation models using EKF/UKF techniques and ensure accurate sensor calibration. Additionally, you will lead hardware-software co-design initiatives, collaborating with FPGA and embedded Linux teams. A key responsibility includes defining benchmarking frameworks to evaluate performance trade-offs and translating system requirements into actionable engineering specifications for cross-functional teams.

🎯 Application Strategy

🎯 Best apply method: Direct application via imec careers page
🔥 Highlight: Real-world embedded AI deployments
🔥 Highlight: Sensor fusion and state estimation expertise
❌ Avoid: Pure research profiles without deployment experience
❌ Avoid: Generic CV without system-level achievements

🧠 Application Optimization (Adaptive)

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Senior Sensor Fusion & Edge AI Engineer focused on embedded perception systems, hardware-software co-design, and real-time AI optimization.

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📅 Application Signals

This role was posted recently, indicating high urgency in hiring. Given imec’s global reputation, expect strong competition from highly qualified candidates worldwide. Early applications with clearly demonstrated system-level achievements significantly improve your chances.

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Edge AI Deployment: Demonstrate deploying deep learning models on embedded edge hardware

Sensor Fusion Systems: Showcase EKF/UKF implementations across Radar, LiDAR, IMU pipelines

Latency Optimization: Quantify reduced inference latency and power consumption in deployments

Hardware Co-Design: Highlight FPGA, embedded Linux, and memory bandwidth optimization experience

System Architecture: Present end-to-end perception pipeline designs with measurable real-world performance

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✅ Job Source & Verification

This job listing originates directly from imec’s official careers page, ensuring high source credibility. The posting appears to be recently updated, reflecting an active hiring process. Candidates are encouraged to verify details on the company website and apply through official channels to ensure authenticity.