Computer Vision Engineer

You, be yourself, we value the diversity you bring to the team.

B.S. or M.S. in Computer Science, Data Science or a related quantitative field (or equivalent hands-on industry experience).

5+ years of professional experience developing and deploying machine learning and computer vision models in production environments.

You are independent, proactive, eager to learn, and committed to continuously expanding your knowledge within AI development.

You have strong problem-solving abilities and a proactive mindset to identify and address challenges to provide our customers with an outstanding experience.

You are a team player who actively contributes ideas, gives and receives feedback regularly, and communicates early about issues, uncertainties, risks, and opportunities.

You are familiar with an Agile/Kanban environment and embody an agile mindset and lean principles.

Solid understanding of modern computer vision architectures (object detection, semantic/instance segmentation, feature matching) using PyTorch.

Strong Python software engineering skills (OOP, design patterns, unit/integration testing, standard data structures) with a focus on code maintainability and scalability.

Practical experience with model versioning, tracking, and serving frameworks (e.g. Docker, ONNX Runtime, DVC, MLflow, Weights & Biases).

You have effective time management and organizational skills to meet deadlines.

Prior experience in aviation, aerospace, non-destructive testing (NDT), spatial inspection, or heavy industrial automation.

Familiarity with 3D data representations (point clouds, meshes, CAD formats) and libraries like Open3D, PyTorch3D, or Gaussian Splatting.

Proven experience working with complex datasets beyond standalone images; specifically, fusing vision data with sensor time-series, spatial data, or 3D models.

Background in time-series forecasting or anomaly detection applied to sensor streams for predictive failure analysis.

Experience optimizing deep learning models for edge compute or low-latency environments (e.g., TensorRT, OpenVINO, CUDA optimization).

Career and skills development opportunities

Employee scholarship program for further education.

Comprehensive health, medical and dental benefits.

On-the-job training and in-house/external certifications.

Competitive remuneration package.

Allowance and overtime benefits where applicable.

Company transport provided.

RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.

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