Computer Vision Engineer
Posted 12 Jun 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
No salary listed for this role.
Field of studyComputer Science (or related)
Study levelMaster's
Study levelDoctorate
About Us
Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces.
Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected.
About the Role
We are looking for a Computer Vision Engineer to join our Machine Learning and Computer Vision team. This role is crucial for developing core technical components across various robotics/aerospace projects.
Responsibilities
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Research & Data Preparation:
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Conduct research on state-of-the-art Computer Vision methodologies. Participate in the creation and curation of training and validation datasets.
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Perform statistical analyses and develop visualisation tools to ensure data quality.
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Algorithm Development & Optimisation:
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Build and refine training pipelines and metrics to enhance model performance.
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Develop and optimise Computer Vision algorithms for multiple robotics/aerospace projects.
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Deployment & Integration: Implement ML/CV models into production-ready environments. Ensure seamless integration with Harmattan AI’s systems and conduct rigorous code reviews.
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Validation & Monitoring: Test algorithms in real-world environments and develop monitoring tools. Track model performance and continuously improve deployed solutions.
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Cross-Team Collaboration: Work closely with software and simulation teams to align development with system requirements. Communicate findings effectively to stakeholders.
Candidate Requirements
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Educational Background: A degree from a top-tier engineering school or university (Master’s degree in Computer Science or related field, PhD is a plus)
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Technical Expertise: Strong mathematical foundations, coding skills (Python, C++ is a plus) and hands-on ML/CV project experience. Experience in top AI companies is a huge plus.
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Passion for ML: Enthusiasm for Machine Learning and Computer Vision.