below marketmost similar roles pay hereabove market
This role pays less than
85%
of similar roles. Most pay
$154,575–$214,487
— the blue band above.
At the midpoint, this role pays about
$149k
versus about
$185k
for comparable roles.
Based on 240 similar postings.
Employer
About Philips
Royal Philips (founded 1891) is a leading Dutch health technology company focused on improving well-being through innovation, transitioning from a diversified electronics giant to a specialist in healthcare, imaging, patient monitoring, and personal health.
The Senior Software Engineer - Image Reconstruction (C++/CUDA) joins a global team to re-architect a CT image-reconstruction pipeline into a massively scalable, GPU-native platform. Working alongside physicists and algorithm architects, the engineer translates complex signal and image-processing models into high-performance GPU implementations. Daily responsibilities include profiling, parallelizing, and optimizing memory use across caches and shared memory to balance image quality against compute costs. The role involves pioneering learned models to replace expensive physics with fast, accurate equivalents. Key technical requirements include professional experience in C++, GPU programming using CUDA, OpenCL, or HIP, and a strong mathematical foundation in image and signal processing. This position solves the technical challenge of turning raw CT physics into clinical images while wringing maximum performance from constrained hardware.
What does a Software Engineer earn?
Median $197400 from 2576 postings across 150 companies.
Re-architect the CT image-reconstruction pipeline into a fully GPU-native, scalable platform using C++ and CUDA.
Translate complex signal and image-processing models into high-performance GPU implementations.
Profile and optimize software for memory use across caches and shared memory.
Parallelize code to maximize throughput and performance on constrained hardware.
Develop and pioneer learned AI models to replace expensive physics computations with fast equivalents.
Design, build, test, and deploy reconstruction software platforms in coordination with global teams.
What we're looking for
You must have 5+ years of professional experience developing and maintaining complex software systems in C++.
You must have experience with GPU programming (CUDA, OpenCL, or HIP) or experience optimizing code for resource-constrained environments.
You must have a bachelor's degree or higher in Computer Science, Electrical or Computer Engineering, Mathematics, Physics, Biomedical Engineering, or a related field.
You must have US work authorization.
You must reside in or within commuting distance to Orange, Ohio.
You must have excellent written and verbal communication skills to explain complex designs and algorithms to non-specialists.
A background in image and signal processing, including the theory of medical image formation, is a plus.
Curiosity about applying machine learning to accelerate scientific or physics computation is a strong plus (preferred).
C++
Golang
Verilog
Unix
Linux
VLSI
RTL
Compiler
Build Systems
Database
Dynamic Code Analysis
Domain-Specific Languages
Computer Architecture
Algorithms
C
C++
CUDA
Parallel Computing
Systems Software
Linux
Windows
Kernel Mode Development
Virtual Memory
Memory Hierarchy
Interconnects
Memory-Mapped IO
Operating System Interfaces