Signal Processing Engineer – Real-Time Bio-Algorithms

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 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.