Algorithm Engineer

A well-funded Deep-Tech Startup developing a revolutionary positioning ecosystem designed to operate where traditional GPS fails.

The company’s patented technology enables centimeter-level location accuracy in complex environments, bridging a critical gap for the future of Autonomous Systems, Robotics, and IoT.

Operating from a central technology hub (adjacent to the train) with a hybrid work model, the organization fosters an elite multidisciplinary R&D culture.

Responsibilities

• Advanced Algorithmic Research: Designing and implementing sophisticated Signal Processing and Machine Learning models to power high-precision geo-location.
• Sensor Fusion & Estimation: Leveraging Statistical Modeling and Estimation techniques (including Kalman Filters) to fuse data from multiple sources like wireless signals and IMU sensors.
• Signal Processing (DSP): Developing core DSP logic for real-time tracking, navigation, and scene understanding in dynamic environments.
• System Integration: Bridging the gap between physical-layer research and robust Python implementation, ensuring high-performance execution.
• Innovative Navigation: Exploring and applying concepts from Radar, Robotics, and Communication to enhance system robustness and tracking fidelity.

Requirements

• Academic Foundation: B.Sc. in Electrical Engineering, Physics, or Computer Science from a leading institution – Mandatory.
• DSP Expertise: At least 3 years of proven professional experience in Digital Signal Processing (DSP) – Mandatory.
• Programming Mastery: High-level development proficiency in Python – Mandatory.
• Technical Versatility: Deep understanding or practical experience in fields such as Navigation, Wireless Communication, Radar, or Statistical Modeling.
• Algorithmic Depth: Experience with Tracking, Estimation, or Data Fusion methodologies.

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