Job Title: Principal Systems Engineer

Company: Adraxe

Job Type: Full-Time

Location: Plymouth, MN (Hybrid)

Adraxe - Company Overview

Adraxe Corporation is an innovative medical device startup focused on the design, development, and launch of breakthrough, minimally invasive neuromodulation solutions to address unmet patient needs. The results from the first clinical epilepsy patients are encouraging and we are at the important stage of hiring key personnel, to accelerate our progress and starting our full product and clinical development. Our goal is to revolutionize neurological care with life-compatible, closed-loop neuromodulation therapies, starting with epilepsy.

About the role
We are seeking a highly experienced and technically driven Principal Systems Engineer to lead systems engineering for a closed-loop epilepsy therapy system, with primary emphasis on neural interface performance, end-to-end system integration, full-stack data flow, and optimization of seizure detection algorithms within a regulated (PMA) development framework. The system includes an active implantable medical device (AIMD), custom external instruments, clinician and patient applications, and a secure cloud platform.

The ideal candidate is a systems engineer who is strongest at the intersection of neural signals + real world data + integrated system behavior who can reason from electrode physics to algorithm metrics to telemetry and cloud pipelines, and knows how to turn that into testable requirements and credible verification evidence. The ideal candidate;

• Has owned or heavily influenced signal chain and algorithm performance in embedded, constrained systems and is comfortable building evaluation frameworks and test plans that reflect reality, not ideal lab conditions.
• Understands that “algorithm performance” isn’t just a model score—it’s latency, robustness, power, reliability, data quality, and user workflow.
• Can lead cross-functional teams through integration complexity with discipline appropriate for PMA.
  
  

This position will report directly to the VP of Engineering, will have significant input into Adraxe strategy and planning, and will collaborate closely with all technical disciplines at Adraxe.

What you'll do
Systems Architecture and Technical Leadership

• Define and maintain the system architecture spanning implant, external instruments, clinician/patient applications, and cloud services.
• Lead trade studies (power, latency, telemetry, sensing/stimulation performance, reliability, safety, cybersecurity) and drive decisions with cross-functional alignment.
• Establish and manage interfaces (electrical, RF/telemetry, APIs, data models, workflow integrations) and ensure compatibility across subsystems.
• Guide development of closed-loop control concepts (sensing → detection/classification → therapy delivery → adaptation), including system-level performance metrics and constraints.

Neural Interface & Signal Chain Ownership

• Develop deep system-level understanding of the neural interface (electrode-tissue interface, sensing modalities, impedance behavior, artifact sources, saturation, noise, drift) and how it impacts detection and therapy performance.
• Define and manage requirements for the signal chain (front-end analog, ADC, filtering, sampling, dynamic range, stimulation artifact handling, telemetry constraints) and ensure traceability to detection performance and safety.
• Partner with hardware, firmware, and clinical teams to characterize signal quality across populations and conditions (movement, sleep, medication changes, electrode maturation).

Seizure Detection Algorithm Performance & Optimization

• Translate clinical needs into measurable algorithm performance metrics (e.g., sensitivity, false alarm rate, latency to detection, time-in-warning, robustness to artifacts) and establish acceptance criteria.
• Drive system-level optimization across algorithm + firmware + data pipeline to meet performance targets under real device constraints (compute, memory, power, latency).
• Lead closed-loop performance analyses that connect sensing → detection → therapy behavior, including edge cases and failure modes.
• Coordinate creation of curated datasets, labeling strategies,