Algorithm Engineer

Ababil Healthcare; Chennai District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Ababil Healthcare in Chennai is seeking an embedded DSP Engineer to implement algorithms in C/C++ for real-time ECG processing.

You will translate MATLAB/Python prototypes into optimized embedded code, validate against real ECG datasets, and work closely with firmware and QA teams to ensure robust signals and accurate heart-rate analytics.

Strong fundamentals in C/C++, memory management, and DSP concepts are required, with a passion for biomedical signal processing and healthcare technology.

Qualifications

• Strong fundamentals in C/C++, pointers, memory management, and data structures.
• Experience translating MATLAB/Python prototypes into embedded C/C++ code.
• Familiarity with DSP concepts such as FIR/IIR filters, FFT, and sampling theory.
• Familiarity with ECG morphology (P, QRS, T waves) and noise sources.
• Algorithm validation using standard performance metrics.

Responsibilities

• Implement DSP algorithms in C/C++ for real-time embedded environments.
• Translate MATLAB/Python prototypes into efficient embedded code.
• Work with real ECG datasets and perform algorithm validation.
• Collaborate with firmware and QA teams.
• Debug, optimize, and document the software.

Skills

C/C++

Pointers

Memory management

Data structures

DSP concepts

Real-time

Embedded systems

MATLAB prototyping

ECG morphology

Job description

1. The role involves implementing DSP algorithms in C/C++ for real-time and embedded environments.
2. Responsibilities include ECG filtering, QRS/R-peak detection, heart-rate computation, and basic beat analysis.
3. Candidates will translate MATLAB/Python prototypes into efficient embedded C/C++ code.
4. The engineer will work with real ECG datasets and perform algorithm validation using standard performance metrics.
5. Strong fundamentals in C/C++, pointers, memory management, and data structures are required.
6. Basic knowledge of DSP concepts such as FIR/IIR filters, FFT, and sampling theory is expected.
7. Familiarity with ECG morphology (P, QRS, T waves) and noise sources is highly desirable.
8. The role includes debugging, optimization, documentation, and collaboration with firmware and QA teams.
9. This position is ideal for candidates passionate about biomedical signal processing and healthcare technology.