Software Engineer, Athelas Home
Build and maintain full-stack software for the FDA-cleared Athelas Home IoT medical device, spanning scalable services, infrastructure, security, and reliability. The role requires professional software engineering experience and proficiency in Python, with opportunities to work on embedded systems and computer vision.
About the job
Responsibilities
- Develop and enhance backend and frontend services for the Athelas Home medical device product.
- Improve infrastructure and architect robust, scalable backend services.
- Translate product requirements into technical solutions.
- Implement cybersecurity best practices throughout the software development lifecycle.
- Collaborate with engineering, operations, quality, and regulatory teams to ensure production software systems meet operational, security, and regulatory requirements.
- Diagnose and resolve technical issues efficiently to maintain system stability and performance.
- Establish and enforce best practices for code quality, testing, and deployment.
Requirements
- Bachelor’s or master’s degree in Computer Science, Software Engineering, or a related field, or equivalent extensive experience.
- Professional software engineering experience.
- Proficiency in Python.
- Deep expertise developing and managing data pipelines.
- Experience with PostgreSQL or similar relational database management systems.
- Advanced knowledge of containerization and cloud services.
- Experience building, scaling, and maintaining sophisticated production environments.
- Advanced skills in system monitoring, alerting, reporting, metrics tracking, and software reliability engineering.
- Product development mindset with focus on user experience and customer needs.
- Commitment to ongoing professional development.
Nice to Have
- Experience or interest in embedded application software for Linux-based IoT medical devices.
- Experience with hardware interfaces such as GPIO, camera control, and serial communication.
- Experience with embedded Linux systems.
- Experience or interest in designing, training, and optimizing computer vision models for blood diagnostics.
- Experience with object detection and classification models.
- Experience across the machine learning lifecycle, including data preparation, model training, deployment, and performance monitoring.
Compensation
- ATS-listed salary range: 40000–50000.
- Employees must comply with organizational information security policies and report confirmed or potential security events and risks.
Skills
Python, Flask, React, Postgres, Kubernetes, Docker, Data Pipelines, Cloud Services, Embedded Linux, Gpio, Computer Vision, Object Detection, Machine Learning, System Monitoring, Cybersecurity
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