Senior Processing Software Engineer
This position is no longer accepting applications (closed Oct 29, 2026).
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Summary
Senior Signal Processing Software Engineer designing high-performance systems that turn large, complex datasets into insight: building ingestion-to-output pipelines, applying numerical methods, filtering, and spectral analysis, and optimizing for high throughput and low latency with parallel, GPU, or distributed computing in Python/C++.
We are seeking a Senior Signal Processing Software Engineer to design and build high-performance systems that turn massive, complex datasets into meaningful results.
Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now.
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 xhmxlyz 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)
Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now.
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 xhmxlyz 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)
