Computer Vision Engineer

This range is provided by Tailored Management. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$95.00/hr - $99.00/hr

• Job Title: Imaging Software Engineer
• Location: Remote
• Contract: 12 Months (Possible Extension)
• Rate: $/Hour
• Benefits: Medical, Dental, Vision, Weekly Pay

The Client is developing next-generation AR/VR imaging systems powered by advanced camera simulation and high-performance imaging software. This role supports the Camera Architecture Team in building high-fidelity, physically based imaging frameworks that drive future AR/VR products. You will work across MATLAB, Python, C++, and CUDA while leveraging cloud and GPU-accelerated workflows to build scalable simulation pipelines.

• Design, develop, and maintain high-performance imaging software frameworks and analytical tools for camera simulation, image processing, and data analysis.
• Implement and optimize algorithms using MATLAB
  , Python
  , CUDA
  , and C++, targeting both CPU and GPU architectures.
• Automate data generation, validation, and analysis workflows using Python and scripting frameworks.
• Develop and deploy GPU-accelerated
  , parallelized imaging pipelines for real-time and offline applications.
• Integrate cloud computing resources to scale simulation and data-processing workloads.
• Utilize AI-assisted development tools to improve delivery speed and code maintainability.
• Collaborate with cross-functional teams (hardware, research, product) to define requirements and support camera architecture studies.
• Contribute to and maintain large multi-language codebases with strong documentation and consistent coding standards.
• Enhance development practices through code reviews, unit testing, and deployment automation.

• Bachelor’s degree required;
  Master’s or PhD preferred (Computer Science, Electrical Engineering, Imaging Science, or related field).
• Strong software engineering experience with MATLAB and Python
  .
• Proficiency with C++ and CUDA
  .
• Proficiency working in Windows and Linux environments.
• Experience automating workflows using Python and Bash scripting.
• Knowledge of image processing
  , computer vision
  , and camera system modeling
  .
• Proven experience with GPU programming and performance optimization.
• Familiarity with AI-assisted tools (Copilot, Claude, Codex) and modern Dev Ops approaches.
• Strong problem-solving abilities with excellent communication and documentation skills.

• Experience with optical simulation tools (MATLAB, ISET, ZEMAX).
• Background in optimization and numerical imaging algorithms.
• Experience developing CI/CD pipelines for automated testing and deployment.
• Experience bridging research and production environments.
• Experience with physically based rendering and 3D scene generation.
• Familiarity with Docker and Kubernetes
  .

The Client is expanding a specialized Camera Architecture Team consisting of 8 engineers
. The team builds end-to-end, high-accuracy, photo-realistic camera simulation technology used to power next-generation AR/VR systems.

• Build and optimize imaging frameworks and simulation tools.
• Enhance automation for image data generation, manipulation, and validation.
• Contribute to multi-language codebases and develop scalable, cloud-enabled simulation workflows.

• MATLAB or Python programming
• C++ and CUDA programming

• Cloud platforms (AWS, GCP, Azure) and distributed computing
• AI-assisted development tools & modern Dev Ops practices
• Strong collaboration and independent problem-solving skills

• 1–2 technical rounds focusing on coding, imaging fundamentals, and GPU optimization
• Assessment of hands‑on…