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Biomedical Signal Processing Engineer - job post

Archle Labs
Bangalore City, Bengaluru, Karnataka

Job details

Job type

  • Permanent

Location

Bangalore City, Bengaluru, Karnataka

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

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