Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Shield AI

Senior Staff Engineer, Computer Vision, C++

Shield AI

Computer Vision C++ Engineer developing real-time perception capabilities for Shield AI's autonomous systems. Focusing on advanced algorithms and high-performance C++ software pipelines.

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

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

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 cross-functional teams.

Highest-signal resume keywords
C++ ProgrammingComputer Vision Algorithm DevelopmentReal-Time Performance OptimizationImage ProcessingMachine Learning Principles

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
C++Computer VisionImage ProcessingMachine LearningAlgorithm DesignPerformance OptimizationData StructuresVersion ControlSpatial PerceptionTracking Algorithms
Soft Skills
CollaborationCross-Functional TeamworkProblem Solving
Industry Keywords
Real-Time SystemsEdge ComputingVisual LocalizationMotion EstimationScene ReconstructionMap BuildingPerception-Assisted Navigation

About the role

Key responsibilities & impact
  • Support the development of real-time perception capabilities for Shield AI's autonomous systems.
  • Design, develop, and integrate advanced computer vision algorithms into high-performance C++ software pipelines.
  • Build 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, comfortable working on bespoke algorithms rather than relying only on existing libraries.
  • Develop tracking and spatial perception pipelines for applications such as visual localization, motion estimation, scene reconstruction, landmark tracking, map building, and perception-assisted navigation.

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.

Benefits

Comp & perks
  • Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer.
  • We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status.
  • If you have a disability or special need that requires accommodation, please let us know.