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Shield AI

Staff Engineer, Computer Vision, C++

Shield AI

Computer Vision C++ Engineer designing and integrating computer vision algorithms for autonomous systems. Focusing on real-time performance, building custom solutions at Shield AI.

Posted 7/23/2026full-timeMelbourne • 🇦🇺 AustraliaLeadWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in developing and integrating advanced computer vision algorithms within high-performance C++ software pipelines, with a strong focus on real-time performance and reliability in edge compute environments. Proven ability to translate research concepts into deployable software and collaborate effectively with multidisciplinary teams.

Highest-signal resume keywords
C++ ProgrammingComputer Vision Algorithm DevelopmentReal-Time Performance OptimizationMachine Learning IntegrationCollaboration with Cross-Functional Teams

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Computer VisionImage ProcessingDeep LearningObject DetectionTarget Tracking3D ReconstructionSLAMCamera CalibrationPerformance OptimizationVersion Control
Soft Skills
CollaborationProblem-SolvingTechnical Ownership
Tools & Technologies
OpenCVGeometry AlgorithmsReal-Time SystemsEdge Computing
Certifications & Qualifications
Master’s Degree in Computer SciencePhD in Engineering
Industry Keywords
Autonomous SystemsDefence SectorAutomated Video SurveillanceMission-Critical Domains

About the role

Key responsibilities & impact
  • support the development of real-time perception capabilities for Shield AI's autonomous systems.
  • designing, developing, and integrating advanced computer vision algorithms into high-performance C++ software pipelines.
  • focus on building custom perception capabilities from the ground up, with an emphasis on real-time performance, reliability, and deployment in edge compute environments.
  • increase the team's capacity and technical depth in real-time computer vision, image processing, and applied machine learning.
  • translate research concepts into deployable software and work on bespoke algorithms rather than relying only on existing libraries.
  • support the development of geometry-based computer vision pipelines, including applications such as camera modelling, intrinsic and extrinsic calibration, image-to-world projection, geolocation from imagery, visual registration, and multi-sensor spatial alignment.
  • familiarity with photogrammetry, epipolar geometry, bundle adjustment, terrain or map-based registration, and deployment of geometry algorithms into real-time C++ systems.

Requirements

What you’ll need
  • Degree in Computer Vision, Computer Science, Engineering, or related technical field.
  • Deep proficiency in C++, with proven experience developing software in high-performance, real-time environments.
  • Demonstrated experience designing and implementing custom computer vision algorithms from scratch, rather than exclusively applying existing libraries.
  • Solid foundational understanding of computer vision, image processing, and machine learning principles.
  • Strong software engineering fundamentals, including data structures, algorithms, performance optimization, and version control.
  • Proven ability to own technical work from ambiguous requirements through algorithm design, implementation, integration, and delivery.
  • Ability to collaborate effectively with multidisciplinary cross-functional teams, including AI experts, robotics engineers, and optical engineers, to deliver reliable edge solutions.
  • Master’s or PhD in Computer Science, Engineering, or a related field.
  • Experience with object detection, target tracking, 3D reconstruction, SLAM, camera calibration, or behaviour analysis.
  • Background in automated video surveillance or other related real-time vision systems.
  • Familiarity with industry-standard vision toolkits, such as OpenCV.
  • Exposure to deep learning methodologies for image classification, recognition, or sequence modelling.
  • Practical experience integrating deep learning models into broader computer vision systems for real-time deployment scenarios.
  • Previous experience in the Defence sector, autonomous unmanned systems, or similar mission-critical domains.

Benefits

Comp & perks
  • equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status.
  • accommodation for those with disabilities or special needs.