Imaging Software Engineer [Remote]

Job Responsibilities:

• Design, develop, and maintain high-performance imaging software frameworks and analytical tools for camera simulation, image processing, and data analysis.
• Implement and optimize algorithms for image processing and camera simulation using MATLAB, Python, and CUDA, with supporting components in C++, targeting both CPU and GPU architectures.
• Automate data generation, processing, and validation workflows using Python scripting and automation frameworks.
• Develop and deploy GPU-accelerated, parallelized imaging pipelines optimized for both real-time and offline applications.
• Integrate cloud computing resources to scale large simulation and data processing workloads.
• Utilize AI-assisted coding tools and modern development environments to expedite delivery and enhance maintainability.
• Collaborate with cross-functional teams (hardware, research, and product) to define requirements, validate solutions, and support camera architecture studies.
• Contribute to and maintain large-scale codebases, ensuring quality, documentation, and sustainability.
• Drive continuous improvement in development practices, including code reviews, unit testing, and deployment automation, to enhance overall quality and efficiency.

Skills:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Imaging Science, or a related field, or equivalent experience.
• Strong software engineering experience with MATLAB and Python; proficiency in CUDA and C++ is highly desirable.
• Experience developing and maintaining large, multi-language codebases across distributed development teams using version control systems (e.g., Git).
• Proficiency with Windows and Linux development environments.
• Experience automating imaging workflows with Python and Bash scripting.
• Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) and distributed computing concepts and practices
• Knowledge of image processing, computer vision, and camera system modeling.
• Proven experience in GPU programming and performance optimization for imaging tasks.
• Familiarity with AI-assisted development tools (e.g., Copilot, Claude, Codex) and modern DevOps practices.
• Strong problem-solving skills and the ability to work both independently and collaboratively.
• Excellent communication and documentation skills.

Education/Experience:

• Bachelors required, Master or PhD preferred