# Principal Embedded Software Engineer at Bexorg

- Company: Bexorg
- What the company does: The first-ever AI and whole-human brain drug discovery platform built to end CNS clinical failure. Backed by Amplify.
- Company website: https://bexorg.com
- Type: Startups
- Level: Principal and up
- Location: New Haven, CT
- Work setup: On-site
- Pay: $180K to $220K base salary per year (USD)
- Posted: 2026-09-17
- Apply by: 2026-11-01
- Apply: https://bexorg.breezy.hr/p/2e22c2efcafb-principal-embedded-software-engineer
- Page: https://www.1752.vc/careers/jobs/bexorg-principal-embedded-software-engineer/

## About the role

We are seeking a Principal Embedded Software Engineer to own the electronics, firmware, and real-time control that make the BrainEx whole-brain perfusion platform work. BrainEx is a proprietary closed-loop physiological system that functions as an artificial cardiovascular, pulmonary, and renal system for an intact human brain — custom hardware and software regulating circulatory volume, cerebral blood flow, systolic pressure and pulsatility, pH, dissolved gases, temperature, metabolites, and drug dosing...

## What they're looking for

- Write the tooling that makes the hardware tractable: Python calibration routines, bench automation, sensor-characterization harnesses, log parsers, and analysis notebooks — the instrumentation around the instrument
- Establish engineering hygiene appropriate to a mission-critical instrument: version control, code review, CI, hardware-in-the-loop and simulated-rig testing, firmware release process, traceability, and rollback
- Deep fluency in C/C++ on microcontrollers, with real working knowledge of RTOS concurrency, interrupt design, memory constraints, and low-level peripheral programming
- Demonstrated track record of owning projects end-to-end: requirements, schematic and board design, firmware, bring-up, commissioning, validation, and long-term support
- Strong practical control-systems ability — you can tune a real loop on real hardware, reason about stability and sensor noise, and implement PID/cascade and state-machine logic that behaves correctly at the edges
- Hardware fluency across domains: schematic capture and PCB layout, analog signal conditioning, sensor and actuator integration, and confident bench debugging with scope and logic analyzer