A stealth-stage neurotechnology startup based in Chicago is hiring a Founding Engineer to help build a first-of-its-kind wearable system focused on real-time brainwave monitoring and predictive health insights. This is a ground-floor opportunity to shape both the core technology and the long-term technical direction of a mission-driven company developing next-generation medical hardware and intelligent software.
In this role, you'll work across hardware, embedded systems, and data-driven software to bring a cutting-edge biosensing device from prototype through real-world deployment. You'll collaborate closely with research, product, and clinical stakeholders while helping establish engineering best practices, architecture decisions, and early technical culture. This is a full-time, on-site position in Chicago with significant ownership and impact. Required Skills & Experience
- Strong experience developing production-grade software in Python, C++, or similar languages.
- Proven ability to design and train computer vision or deep learning models from scratch (e.g., CNNs, transformers), including data preparation, training workflows, and evaluation.
- Hands-on experience working with hardware-integrated systems, embedded devices, or IoT products.
- Solid understanding of signal processing, time-series data, or other sensor-driven data systems.
- Experience building and testing systems that combine firmware, software, and physical devices.
- Ability to troubleshoot complex cross-disciplinary technical issues.
- Comfortable working in early-stage environments with evolving requirements.
- Bachelor's or Master's degree in Engineering, Computer Science, Electrical Engineering, or a related technical field.
Desired Skills & Experience
- Experience applying computer vision or deep learning techniques to biomedical or sensor-based data.
- Familiarity with EEG, biosignals, or other physiological data streams.
- Knowledge of FDA or other medical device regulatory frameworks.
- Experience developing data pipelines, analytics tools, or ML-enabled systems for sensor data.
- Prior experience as an early or founding engineer at a startup.
- Exposure to low-power system design or wearable technology development.
What You Will Be Doing Tech Breakdown:
- 35% Embedded and device-level software development
- 30% Machine learning model development (including training deep learning models from scratch)
- 20% Signal/data processing and algorithm implementation
- 15% System integration, testing, and performance optimization
Daily Responsibilities:
- Design and implement software that interfaces directly with wearable sensing hardware.
- Develop and train deep learning models (such as CNNs or transformer-based architectures) to extract meaningful patterns from complex physiological and sensor data.
- Build systems for collecting, processing, and analyzing real-time biosignal data.
- Collaborate with hardware engineers to ensure tight integration between firmware and device components.
- Build internal tools and infrastructure for model training, validation, and performance monitoring.
- Contribute to technical roadmap decisions, architecture design, and engineering standards.
- Support product iteration cycles by rapidly prototyping, testing, and refining system components.
- Work cross-functionally with research and clinical partners to translate scientific insights into reliable product features.
The Offer You will receive the following benefits:
Competitive salary and meaningful early-stage equity.
Comprehensive health, dental, and vision coverage.
Opportunity to be a foundational member of a mission-driven Chicago startup.
Direct influence on product direction, technical architecture, and team growth.
Fast-paced environment with real-world impact in advanced health technology.
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