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Biomedical Signal Processing Engineer

Archle Labs
Bangalore City, Bengaluru, Karnataka

Quick apply

Job details

Permanent
13 days ago

Qualifications

MATLAB
Signal processing
Internet of things
Research
Master's degree
Analysis skills
C++
C
Bachelor's degree
Embedded software
Communication skills
Python

Full job description

About ARCHLE Labs

ARCHLE Labs – Advanced Research Centre for Health And Life Science Engineering is a health-tech R&D startup based in Bangalore. Our team comprises experienced healthcare professionals and entrepreneurs passionate about making a difference in the world.

“Our mission is to drive innovations to solve complex medical challenges and enhance human well-being.”

Our commitment lies in harnessing the power of science and engineering to create tangible solutions that empower the health of individuals and communities worldwide.

Role Description

We are looking for a highly skilled Biomedical Signal Processing Engineer to join our Research & Development team. In this role, you will work on the development of real-time physiological signal processing systems for next-generation healthcare and medical devices.

You will be responsible for designing, implementing, and optimizing end-to-end biosignal processing pipelines using ECG, PPG, and related physiological signals collected from real-world environments. This role requires strong practical implementation experience with noisy biosignal data, embedded systems, and signal acquisition hardware.

You will work closely with the CEO and cross-functional engineering teams in a fast-paced startup environment focused on building impactful healthcare technologies.

If you are passionate about biomedical engineering, embedded systems, and real-world healthcare innovation, we’d love to meet you.

Key Responsibilities

Design and develop real-time ECG and PPG signal processing pipelines
Work with raw physiological signals collected from real-world environments
Implement digital filtering, denoising, peak detection, and feature extraction algorithms
Develop robust pipelines for heart rate, SpO₂, and physiological parameter extraction
Work on oscillometric and NIBP signal processing techniques
Implement motion artifact reduction and signal stabilization methods
Develop and optimize signal processing algorithms for embedded and edge devices
Interface with biomedical sensors, analog front-end (AFE) systems, and acquisition hardware
Work with microcontrollers and embedded platforms such as ESP32, STM32, and Nordic systems
Analyze noisy biosignal datasets and improve signal reliability and performance
Collaborate with hardware, firmware, AI, and product teams for system integration
Create technical documentation, testing reports, and validation workflows
Participate in prototyping, debugging, testing, and deployment activities

Requirements

Bachelor’s or Master’s degree in Biomedical Engineering, Electronics, Signal Processing, Embedded Systems, or related field
Strong hands-on experience working with raw ECG and PPG signals
Strong understanding of digital signal processing fundamentals
Experience with filtering, noise reduction, peak detection, and physiological signal extraction
Practical experience implementing real-time signal processing pipelines
Hands-on experience with biosignal acquisition hardware and noisy real-world data
Proficiency in Python, MATLAB, or C/C++
Strong problem-solving and analytical skills
Ability to work effectively in cross-functional engineering teams
Strong communication and documentation skills

Preferred Experience

Heart rate and SpO₂ extraction algorithms
Oscillometric and NIBP signal processing
Motion artifact reduction techniques
Embedded systems development using ESP32, STM32, Nordic, or similar platforms
Biomedical AFEs and sensor interfacing
Real-time embedded signal processing optimization
Experience with wearable or medical device development
Exposure to healthcare IoT systems

Important Note

We are specifically looking for engineers with strong implementation experience in biomedical signal processing systems.

This role is not suitable for:

ML-only profiles focused primarily on classification models
Data labeling or annotation roles
Pure research profiles without practical implementation experience

We are looking for candidates who have built and implemented end-to-end biosignal processing pipelines in real-world systems.

What We Offer Here

Competitive salary and benefits package
Potential ESOP grants based on performance and tenure
Opportunity to work closely with founders, CEO, and leadership team
High ownership role with significant growth potential
Collaborative and innovation-driven work environment
Opportunity to work on cutting-edge healthcare technologies
Professional development and research opportunities
The chance to make a meaningful impact in healthcare innovation

Job Types: Full-time, Permanent

Work Location: In person

Quick apply

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