Senior Software Engineer- Manual Medical Device Testing
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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level experience and metro location increase competition, but niche CUDA/GPU specialization limits applicant pool.
Work requires specialized GPU/CUDA and medical imaging experience, making cross-industry transferability low.
Explicit years plus mandatory CUDA, C++, GPU programming, and image-processing skills create strict filtering.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and optimize GPU-accelerated algorithms for ophthalmic imaging and AI applications using CUDA and C++.
Implement, maintain, and optimize OCT and image processing pipelines for medical devices.
Collaborate with algorithm scientists and system architects to integrate and troubleshoot complex software in medical imaging products.
Minimum Requirements
Minimum 3 years full-time work experience.
Proven skills in CUDA and GPU programming.
Strong proficiency in modern C++ development and Linux environment.
Experience with image processing, performance profiling, and multi-threaded high-performance computing.
Ideal Candidate Profile
Experienced in porting research algorithms to production-quality medical device software.
Ability to perform detailed software debugging and root cause analysis in complex systems.
Background or experience in medical imaging or scientific computing environments.