
Software Engineer
6 days ago
About ELDA
At
ELDA
, we're building intelligent medical systems to accelerate the understanding and treatment of neurological disorders. Our interdisciplinary team combines neuroscience, data science, and engineering expertise to create cutting-edge biomedical solutions.
About the Role
We are seeking a
junior to mid-level Python Engineer
with hands-on experience in production environments. You thrive on solving complex technical challenges and are passionate about developing robust, data-driven systems.
In this role, you will:
- Design and implement a
modular analysis pipeline
with multiple scalable processing stages.
- Manage and maintain
physiological signal data
processing, configuration management, logging, and data integrity.
- Support ELDA's
data infrastructure and storage systems
, integrating your pipeline with other solution components such as data acquisition platforms and visualization tools.
- Collaborate closely with neuroscientists, data scientists, and engineers to deliver impactful solutions in the biomedical domain.
Required Qualifications
- Minimum
1 year of industry experience
working on production Python projects.
- Strong proficiency in
Python
, including OOP and debugging.
- Experience with
Git
and version control workflows.
- Familiarity with
Docker
for reproducible environments.
- Testing frameworks
: pytest or equivalent.
- Proficiency with
data analysis libraries
: NumPy, SciPy, Pandas.
- Comfort with
Linux command-line
tools.
- Experience using
AI-assisted coding tools
(e.g., Cursor, Copilot).
- Ability to write
clean, modular, and well-documented code
.
- Comfortable reading and implementing
technical documentation, research papers, and data specifications
.
- Strong
communication
and
self-management
skills in an asynchronous team environment.
Helpful Experience
- Familiarity with
signal processing
techniques (filtering, resampling, artifact detection, segmentation).
- Experience working with
physiological or biosignal data
(EEG, ECG, EMG, etc.).
- Knowledge of
environment management
tools (Poetry, venv).
- Exposure to
CI/CD
workflows (GitHub Actions, GitLab CI).
- Understanding of
parallelization frameworks
and scalable data pipelines.
Please contact
-
and refer to position 347 in the title
-
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