Signal Processing Engineer – Real-Time Bio-Algorithms

Praxa Sense; Delft; Hybrid; EUR 70,000 - 95,000; Full time

Benefits offered by this job

Equity participation

25 paid holiday days per year

Budget for personal development

Equity participation

Job summary

A health technology company is seeking a Signal Processing Engineer to design and optimize algorithms for non-invasive health monitoring. The role involves working with optical signals and requires expertise in signal processing, Python, and C/C++. The company offers a hybrid work model, opportunities for equity participation, and promotes a collaborative environment with experts in the field.

Qualifications

• 5+ years of experience in biomedical or physical signal processing.
• Proven track record with low-level sensor data, ideally PPG or similar optical signals.
• Familiarity with causality constraints in real-time systems.
• Familiarity with causality constraints in real-time systems.
• Bonus: experience with laser-speckle or optical flow-based signal extraction.
• Fluent in Python and C/C++.

Responsibilities

• Design, prototype, and validate signal processing algorithms for real-time and offline applications.
• Collaborate with firmware and data science teams to ensure cross-stack consistency.
• Maintain algorithm documentation, version control (GitHub), and reproducible experiments.
• Optimize computational pipelines for embedded execution while preserving accuracy.
• Collaborate with firmware and data science teams to ensure cross‑stack consistency.
• Conduct spectral, statistical, and time‑frequency analyses on sensor data.
• Maintain algorithm documentation, version control (GitHub), and reproducible experiments.
• Contribute to algorithm testing frameworks and performance evaluation metrics.

Skills

Signal processing

Digital filtering

Python

C/C++

Spectral analysis

Algorithm development

Debugging

Education

MSc in Signal Processing, Biomedical Engineering, Applied Physics

MSc in Biomedical Engineering / Applied Physics

HBO + 10 yrs exp accepted

Tools

GitHub

Job description

At Praxa Sense, we’re redefining non-invasive health monitoring with our optical innovation ALIS – a speckle-based biosensor enabling new frontiers in remote vital sign tracking.

We’re looking for a Signal Processing Engineer to design and optimize the algorithms that transform raw optical signals into physiological insights. You’ll work on both real-time embedded pipelines and offline post-processing, ensuring our models are accurate and causal, and closely follow physiological trends.

If you’ve ever tuned a filter to perfection or extracted heartbeats from noise, this is your playground.

What you will do

• Design, prototype, and validate signal processing algorithms for real-time and offline applications.
• Work with Python, C, and C++ to implement efficient, scalable processing chains.
• Develop filters, motion compensation, and adaptive algorithms for PPG and related optical signals.
• Optimize computational pipelines for embedded execution while preserving accuracy.
• Collaborate with firmware and data science teams to ensure cross‑stack consistency.
• Conduct spectral, statistical, and time‑frequency analyses on sensor data.
• Maintain algorithm documentation, version control (GitHub), and reproducible experiments.
• Contribute to algorithm testing frameworks and performance evaluation metrics.

What we are looking for

• 5+ years of experience in biomedical or physical signal processing.
• MSc degree in Signal Processing, Biomedical Engineering, Applied Physics, or related discipline (HBO + 10 yrs exp accepted).
• Proven track record with low‑level sensor data, ideally PPG / similar optical signals.
• Strong command of digital filtering, adaptive signal processing, and spectral analysis.
• Familiarity with causality constraints in real‑time systems.
• Bonus: experience with laser‑speckle or optical flow‑based signal extraction.
• Fluent in both Python (for research) and C/C++ (for implementation).
• Pragmatic, analytical, and excited to work across algorithmic and system boundaries.
• Thrives in lean, agile environments – enjoys wearing multiple hats and taking ownership.
• Believes in synergy: great products emerge when experts in different domains collaborate closely.

What we offer

• A salary matching your experience with potential equity participation.
• A pivotal role in building a deep‑tech biosensing product.
• Direct collaboration with experts in optics, signal processing, and data science.
• The chance to shape how world‑leading companies integrate our technology.
• Hybrid work culture: in‑person collaboration in Delft at least 2 days/week, work from home when you need focus.
• 25 paid holiday days per year.
• Budget for personal development and your home office.
• The satisfaction of building technology that directly improves health monitoring.

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Submissions without a motivational letter will result in automatic rejection.