; Qualifications:

- ;BTech or MTech Signal Processing/ CS/ EE/Biomedical with 0-2 years experience

; Skills

;Strong foundation in:

- ;Signal/Image Processing Signals and Systems

- ;Embedded Systems

- ;Linear Algebra, Optimization, and Inverse Problems

- ;Good understanding of MRI physics (k-space, encoding, gradients, sequences)

- ;Proficiency in Python and C++

- ;Experience writing clean, modular, and efficient code

; Main Responsibilities:

- ;Develop and optimize image processing and reconstruction algorithms for MRI, with a focus on artifact correction (motion, noise, undersampling, etc.)

- ;Formulate and solve inverse problems for MRI reconstruction using physics-based and data-driven techniques

- ;Design computationally productive, scalable, and production-ready implementations





- ;Collaborate with cross-functional teams (sequence design, system engineering, clinical teams)

- ;Implement and validate algorithms for real-time or near real-time deployment on MRI systems

- ;Develop and execute test plans, validation pipelines, and performance benchmarks

- ;Contribute to software lifecycle processes (SDLC) including documentation, testing, and release

; Job Category: Software

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📌 Imaging Engineer - Reconstruction (Bengaluru)
🏢 Voxelgrids
📍 Bengaluru