Software Engineer - Hardware and Embedded Systems

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Come join Bexorg, Decode the Brain. Reinvent Drug Discovery!

Recent funding news: Bexorg Raises $42.5M to Transform CNS Drug Development with World’s First Integrated AI and Whole-Human Brain Platform

About Bexorg

Bexorg develops systems that plan and execute human brain perfusion experiments and manage a growing biobank (10,000 samples and growing rapidly) with zero tolerance for data failures.

Since Bexorg was founded by Dr. Zvonimir Vrselja and Dr. Nenad Sestan at Yale University in 2021, the company has rapidly advanced its whole-human brain drug discovery platform.

The company’s foundational research, which demonstrated that cellular and metabolic activity could be restored to postmortem brains hours after death, was published in Nature (Nature 568, 336–343 (2019)). In 2024, Bexorg partnered with the University of Oxford and the UK Medical Research Council as part of a collaborative effort to advance translational gene therapy development for neurological diseases. In mid-2025, the company announced a research collaboration with pharmaceutical company Biohaven Ltd. to advance two of Biohaven’s preclinical development programs. In the last 18 months, Bexorg has expanded its proprietary dataset to include hundreds of whole-brain experiments spanning Alzheimer’s disease, Parkinson’s disease, and other neurodegenerative conditions, establishing one of the world’s largest repositories of human CNS data.

Building on continuous growth of its proprietary human brain dataset, Bexorg is now training foundation models on petabyte-scale human brain molecular data, creating the first AI system grounded in experimentally measured human neurobiology.

Role Summary

Bexorg is seeking a Software Engineer to drive the development of embedded control systems that power our next-generation brain perfusion platform. In this role, you will design and implement firmware and automation software that interfaces directly with sensors, pumps, and high-speed data acquisition systems to enable precise, real-time physiological experimentation. You’ll collaborate closely with hardware, mechanical, and biochemical engineers to build robust, scalable systems that integrate data, analytics, and automation.

Key Responsibilities

• Embedded Systems Development
• Develop, test, and maintain firmware for embedded controllers (e.g., Arduino
• Portenta, PLCs).
• Implement PID control loops, sensor data acquisition, and real-time I/O
• management.
• Interface with high-speed DAQ modules (e.g., USB-1608FS-Plus) for
• synchronized, buffered data logging.

Control & Automation Software

• Design software architectures for managing perfusion cycles, valve control, and
• pump synchronization.
• Develop APIs and automation routines for experiment scheduling, calibration,
• and error handling.
• Integrate control systems with GUI and system-level automation layers.

Data & Analytics Integration

• Implement time-series data collection and analysis pipelines for monitoring
• physiological metrics.
• Work with Python-based analytics (e.g., NumPy, pandas, Plotly, scikit-learn) to
• visualize and interpret perfusion parameters such as clean_scale_weight and
• brain_resistance.
• Support development of predictive models to optimize perfusion performance.

System Integration & Testing

• Collaborate with hardware, mechanical, and biochemical engineering teams to
• ensure seamless system operation.
• Write test protocols, validation scripts, and documentation for regulatory and
• performance verification.
• Maintain version control (Git), CI/CD pipelines, and issue tracking.

Qualifications

• Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering,
• Computer Science, or related field.
• 3 years of experience in embedded systems, control software, or scientific
• instrumentation.
• Proficiency in Python and C/C .
• Experience with microcontrollers, serial communication (UART/RS-232/USB), and
• DAQ systems.
• Familiarity with PID control, signal processing, and sensor integration.
• Strong debugging, documentation, and collaboration skills.

Preferred

• Experience with Portenta Machine Control, Modbus/TCP, or PLC integration.
• Knowledge of hardware-in-the-loop testing, real-time operating systems, or lab
• automation frameworks
• Experience developing scientific GUIs (e.g., PyQt, Dash, or similar).
• Understanding of biomedical instrumentation or bioreactor control systems.

What We Value

• Zero tolerance for data failure
• First‑principles reliability: detect/repair over wishful “exactly once”; reconciliation over hand‑waving.
• Operator‑first UX: guardrails > “Are you sure?” modals; no ambiguous states.
• Evidence in production: DR drills, integrity reports, change control with traceable artifacts.

EQUAL OPPORTUNITY EMPLOYER

Connecticut Innovations and its portfolio companies are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We have strict wage minimums, generous benefits, and personal leave policies. Our goal is to provide safe, rewarding, and empowering work environments for all who interact with our company and/or portfolio companies.