Staff Engineer, Computer Vision (C++) (R5196)

Shield AI|15 Jul 2026

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Before you apply

Listed location: Melbourne

Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.

Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.

Job description supplied by Shield AI; category and skill labels may be inferred. How our listings work · Report a problem

Job Description

Job Description:

This role is for a Computer Vision C++ Engineer to support the development of real-time perception capabilities for Shield AI's autonomous systems.

The Computer Vision Engineer will be responsible for designing, developing, and integrating advanced computer vision algorithms into high-performance C++ software pipelines. The role will focus on building custom perception capabilities from the ground up, with an emphasis on real-time performance, reliability, and deployment in edge compute environments. This position is required to increase the team's capacity and technical depth in real-time computer vision, image processing, and applied machine learning.

The successful candidate will bring strong C++ software engineering skills, experience developing high-performance or real-time systems, and a deep understanding of computer vision fundamentals. They should be capable of translating research concepts into deployable software and comfortable working on bespoke algorithms rather than relying only on existing libraries. Experience with areas such as camera calibration, multi-view geometry, geospatial registration, 3D reconstruction, image rectification, sensor alignment, coordinate transformations, or target localization would be highly valuable.

The role will also 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 would be beneficial. Candidates with a Master's or PhD in Computer Science, Engineering, Robotics, Computer Vision, Geomatics, Photogrammetry, or a related field would be well aligned with the technical needs of the team, though strong applied industry experience is also highly relevant.

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Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check.

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.

Skills mentioned

Computer VisionC++

Frequently asked questions

Is the Staff Engineer, Computer Vision (C++) (R5196) position at Shield AI remote?

The Staff Engineer, Computer Vision (C++) (R5196) role at Shield AI does not have a confirmed remote arrangement in our data. Check the employer description for its work location.

What type of employment is the Staff Engineer, Computer Vision (C++) (R5196) role?

Shield AI is hiring for a internship Staff Engineer, Computer Vision (C++) (R5196) position.

Which skills are mentioned for the Staff Engineer, Computer Vision (C++) (R5196) job at Shield AI?

Detected skill labels include Computer Vision, C++. Check the employer description to distinguish required skills from preferred experience.

How do I apply for the Staff Engineer, Computer Vision (C++) (R5196) position at Shield AI?

You can apply for the Staff Engineer, Computer Vision (C++) (R5196) role directly through Shield AI's official application link provided on this page.