We are seeking a Senior Signal Processing Software Engineer to design and build high-performance systems that turn massive, complex datasets into meaningful results. You will work on challenging problems in scalability, numerical methods, and near-real-time processing. This role offers real technical ownership and the chance to shape the architecture of a next-generation data processing platform.
Key responsibilities:
-Design and implement signal processing algorithms that extract insight from large, complex datasets
- Build efficient pipelines covering data ingestion, storage, processing, and output generation
- Optimize software for high throughput and low latency using parallel, GPU, or distributed computing methods
- Apply numerical methods, filtering, spectral analysis, and pattern recognition techniques in production-quality code
- Work closely with scientists, engineers, and data specialists while contributing to architecture and technology decisions
- Must have strong command of signal processing theory and hands-on experience implementing it
- Must have proficiency in Python, C++, or a similar high-performance language, along with tools such as NumPy, SciPy, or MATLAB
- Must have experience working with large datasets, backed by a solid foundation in numerical computing and algorithm optimization
- Must have familiarity with parallel, GPU, or distributed systems; experience with real-time processing or machine learning for signals is a plus
- Must have bachelor's degree in Electrical Engineering, Computer Science, Physics, Applied Mathematics, or a related field (Master's or PhD preferred)