Radar Engineer H/F at Alta Ares

Toulouse, Occitania, France -

Full Time

Start Date

Immediate

Expiry Date

12 Jun, 26

Salary

0.0

Posted On

14 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Radar Integration, System Architecture, Data Fusion, Performance Optimization, Field Testing, Counter-UAS, Target Tracking, AI/ML Integration, ECCM, Radar Data Processing, C2 Systems Integration, GNSS-Denied Environment, MLOps Platform

Industry

Software Development

Description

About Alta Ares Alta Ares is a deeptech startup founded in 2024, building real-time AI for defense operations (ISR, C-UAS). Our primary clients are NATO-aligned militaries, with regular deployments during live exercises. Raised €2M pre-seed in May 2025 Products include: Real-time AI ISR module deployable on drones and tactical platforms Counter-UAS solution enabling autonomous drone takeover under GNSS-denied environment Full-stack MLOps platform for training & deploying military-grade AI models Data fusion and trajectory prediction Position details Location: Paris or Toulouse, France, with regular travel to testing sites, operational theaters, partner locations, and NATO countries Reports to: Head of Product Hardware / Engineering Position objective: Lead the integration of radar systems into Alta Ares’ counter-drone ecosystem, ensuring operationally effective detection and tracking capabilities across all platforms, and supporting field deployment and system optimization in operational theaters. Contract: Full-time, permanent position (CDI) Role & Mission As Radar Engineer, you will lead the integration of radar systems into Alta Ares' counter-drone ecosystem. You will work on integrating various radar technologies (ground-based, drone-mounted, mobile) with our Ground Control Station (GCS), C2 systems, and drone platforms to create comprehensive detection and tracking solutions for counter-UAS operations. Radar Integration & Development Integrate diverse radar systems into Alta Ares' product ecosystem (GCS, C2, drone platforms) Evaluate and select radar technologies for different operational scenarios Interface radar data with AI/ML detection and tracking systems System Architecture & Integration Design integration architectures between radars, C2 systems, and GCS Ensure real-time data processing and low-latency target tracking Create standardized integration frameworks for multiple radar vendors Implement data fusion between radar and other sensors (RF, EO/IR, acoustic) Performance Optimization Conduct radar performance testing and validation in various environments Optimize detection ranges, false alarm rates, and tracking accuracy Develop ECCM (Electronic Counter-Counter Measures) capabilities Analyze operational data to improve detection algorithms Adapt systems for challenging environments (urban, maritime, mountainous) Field Testing & Deployment Support radar deployment and integration in operational theaters Conduct field testing and performance validation Troubleshoot integration issues in operational conditions Cross-Functional Collaboration Work with hardware teams on radar mounting and platform integration Collaborate with software/AI teams on data processing and fusion ‍ Candidate profile 5+ years in radar engineering, radar integration, or a related field Proven experience with radar systems and testing Background in defense, aerospace, or surveillance systems Experience with multiple radar technologies Hands-on experience with radar data processing and tracking algorithms is a plus Nice to Have Experience with C-UAS or counter-drone operations Familiarity with AI/ML-based detection and tracking systems Exposure to multi-sensor fusion (radar + EO/IR + RF) Experience in NATO or defense operational environments Field deployment experience with mobile, drone-mounted, or fixed radar systems ‍

Responsibilities

The Radar Engineer will lead the integration of various radar systems (ground-based, drone-mounted, mobile) into the counter-drone ecosystem, ensuring effective detection and tracking capabilities across platforms. This includes designing integration architectures, optimizing performance, and supporting field deployment and system optimization in operational theaters.