Chief Technology Officer (CTO) – Late Co-Founder

Company: Deep-Tech Startup

Location: Hybrid

Stage: Early-stage

About the Company

We are a deep-tech startup developing advanced AI systems for the diagnosis of diseases using physiological signals. Our technology leverages state-of-the-art signal processing and deep learning to transform raw biosignal data into clinically meaningful diagnostic insights.

The company operates at the intersection of healthcare, AI, and biomedical signal analysis, with a strong emphasis on scientific rigor, scalability, and real-world clinical impact.

Role Overview

We are seeking a CTO – Late Co-Founder with deep expertise in signal processing and deep learning to own the company’s technical vision and execution.

This is a hands-on leadership role responsible for building the core AI technology from the ground up, defining the technical roadmap, and scaling the platform from research to production. The CTO will work closely with the CEO and leadership team on product direction, technical strategy, and long-term vision.

Key Responsibilities

Technical Vision & Architecture

• Define and own the end-to-end technical architecture of the AI platform
• Make foundational decisions across data pipelines, modeling, infrastructure, and scalability
• Ensure scientific rigor, robustness, and regulatory-ready engineering practices

Signal Processing & Deep Learning

• Design and develop advanced deep learning models for physiological and time-series signals (e.g. EEG, ECG, PPG, actigraphy)
• Apply and innovate on signal processing techniques including filtering, spectral analysis, wavelets, and artifact removal
• Lead algorithm development for disease-related biomarker extraction and diagnostic inference
• Drive the transition from research prototypes to production-grade systems

Cloud, MLOps & Infrastructure

• Architect and deploy scalable AI systems in the cloud, with a strong focus on Google Cloud Platform (GCP)
• Build and maintain data pipelines for large-scale physiological data
• Establish MLOps best practices including CI/CD, model versioning, monitoring, and reproducibility
• Optimize performance, security, and cost in an early-stage startup environment

Product & Company Strategy

• Translate technical and scientific capabilities into diagnostic product features
• Collaborate with leadership on product roadmap, technical milestones, and partnerships
• Contribute to IP strategy and long-term research direction

Team & Culture

• Build, mentor, and lead the AI and engineering team
• Set technical standards and a strong research-driven engineering culture
• Own technical hiring and team growth

Required Qualifications

• PhD in Electrical Engineering, Computer Science, Biomedical Engineering, Applied Mathematics, Physics, or a closely related field
• Academic background from a top-tier university with strong research excellence
• Published papers in reputable journals or conferences (e.g. IEEE, NeurIPS, ICML, ICLR, EMBC) in signal processing, deep learning, or related fields
• Deep expertise in signal processing and deep learning
• Strong hands-on experience with deep learning for time-series and physiological data
• Proven ability to translate research into scalable, real-world systems
• Strong programming skills in Python and deep learning frameworks (e.g. PyTorch, TensorFlow)
• Experience working with cloud infrastructure, specifically Google Cloud Platform (GCP)

Why This Role

• Late co-founder position with strategic technical ownership
• Full responsibility for the company’s AI and technical direction
• Opportunity to build clinically meaningful diagnostic technology
• Direct influence on product, research, and long-term company trajectory