Shield AI

4 weeks ago

Object Detection and Tracking Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

We are seeking a Perception Engineer to build real-time object detection, tracking, and sensor fusion systems for autonomous aircraft. You’ll develop state estimation, integrate multiple sensors (EO/IR, radar, IMU) and work with autonomy and hardware teams to deliver robust perception for GPS-denied or contested environments, validated in simulation and field tests.

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Develop and implement robust perception algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities
•Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness
•Design and refine state estimation and localization algorithms using IMU, GPS, and vision data for stable navigation
•Interpret Interface Control Documents (ICDs) and hardware integration specs to ensure correct data handling and synchronization
•Tune perception pipelines for performance, robustness, and real-time efficiency in simulation and real-world environments

Travel: Low travel

Key Requirements

•BS or MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or equivalent practical experience
•Typically requires a minimum of 7-10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience
•Background in Kalman filtering, multi-target tracking, or deep learning-based detection models
•Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches
•Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization in real-time applications

Experience:7-10 yearsDefenseAerospaceAutonomous systems

Education:Bachelor's

Skills:PyTorchTensorFlowKalman FilterSensor fusionSLAMVisual-inertial odometryState estimationData fusion

Tech Stack:PyTorchTensorFlowKalman FilterSLAMVisual-inertial odometryIMUGPSEO/IRRadarSensor fusion

Company Brief

Shield AI

Develops AI-powered autonomy and software for military aircraft and drones to enable autonomous ISR and combat missions, integrating perception, navigation, and mission planning for defense customers.

Industry: Defense Technology

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series E+

Headquarters: San Diego, United States

Founded: 2015

Website LinkedIn

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Shield AI

4 weeks ago

Object Detection and Tracking Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Develop and implement robust perception algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities
•Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness
•Design and refine state estimation and localization algorithms using IMU, GPS, and vision data for stable navigation
•Interpret Interface Control Documents (ICDs) and hardware integration specs to ensure correct data handling and synchronization
•Tune perception pipelines for performance, robustness, and real-time efficiency in simulation and real-world environments

Travel: Low travel

Key Requirements

•BS or MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or equivalent practical experience
•Typically requires a minimum of 7-10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience
•Background in Kalman filtering, multi-target tracking, or deep learning-based detection models
•Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches
•Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization in real-time applications

Experience:7-10 yearsDefenseAerospaceAutonomous systems

Education:Bachelor's

Skills:PyTorchTensorFlowKalman FilterSensor fusionSLAMVisual-inertial odometryState estimationData fusion

Tech Stack:PyTorchTensorFlowKalman FilterSLAMVisual-inertial odometryIMUGPSEO/IRRadarSensor fusion

Company Brief

Shield AI

Industry: Defense Technology

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series E+

Headquarters: San Diego, United States

Founded: 2015

Website LinkedIn