Applied Mathematics Engineer

Remote – India | Full-Time

Zernike Polynomials | Polar Harmonic Transforms | Image Processing | C

Compensation

₹50–60 LPA, depending on experience, technical expertise, and overall fit.

About the Role

DD-AIM is hiring an Applied Mathematics Engineer with a strong mathematical foundation and hands-on experience in image processing, numerical methods, and C development.

The role will focus on developing and optimizing advanced mathematical image-processing algorithms based on Zernike Polynomials, Zernike Moments, and more modern extensions, particularly Polar Harmonic Transforms such as PCT. Python and existing scientific libraries may be used for prototyping, testing, and validation; however, the final production implementation will be an optimised C library. The candidate should also be flexible in working across different technical areas and collaborating across time zones when required, as the role involves close interaction with our U.S.-based team.

Responsibilities

• Develop mathematical algorithms for image processing and computational imaging.
• Implement and optimize Zernike Polynomial-based algorithms and modern extensions such as Polar Harmonic Transforms (PCT) in C.
• Translate mathematical formulations and research publications into reliable production implementations.
• Use Python and scientific libraries for prototyping, numerical validation, and testing.
• Ensure numerical accuracy, stability, and reproducibility.
• Optimize algorithms for CPU performance, memory utilization, latency, and throughput.
• Develop correctness tests, validation frameworks, and performance benchmarks.
• Collaborate closely with engineering and research teams across different time zones.

Required Qualifications

• Master's degree in Applied Mathematics, Mathematics, Signal Processing, Biomedical Engineering, Medical Imaging, Physics, Computer Science, or a closely related quantitative field.
• Strong understanding of Zernike Polynomials, Zernike Moments, and modern extensions such as Polar Harmonic Transforms/PCT.
• Strong foundation in applied mathematics, linear algebra, numerical methods, and signal/image processing.
• Experience with image processing, computational imaging, or scientific imaging.
• Strong programming skills in C, particularly for numerical or performance-critical software.
• Working knowledge of Python for prototyping, testing, and validation.
• Strong analytical and problem-solving skills.
• Ability to work independently while remaining flexible and collaborative in a distributed team environment.

Preferred Qualifications

• Experience with medical or biomedical imaging.
• Experience developing or optimizing numerical/scientific libraries.
• Experience with SIMD, OpenMP, CUDA, parallel computing, or CPU performance optimization.
• Experience implementing mathematical algorithms from academic or technical publications.
• Familiarity with performance profiling and benchmarking tools.

Ideal Candidate

You should be comfortable working across the complete algorithm-development lifecycle:

Mathematical Formulation → Prototype → Validation → Optimized C Implementation → Benchmarking → Production Integration

Please apply only if you meet the core qualifications for this position, particularly the Master's degree requirement, advanced mathematical background, relevant image-processing experience, and strong C programming skills.