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Spectral AI Tech Stack

AI-powered diagnostic imaging for wound care treatment decisions

Biotechnology Research Dallas, TX 51–200 employees Public Company

Spectral AI develops a predictive diagnostic device (DeepView®) using machine learning to assess wound healing potential before clinical intervention. The tech stack—PyTorch, TensorFlow, CUDA, ONNX Runtime—reflects a mature ML infrastructure; concurrent work on SBOM creation, vulnerability scanning, and embedded cybersecurity signals a company scaling through regulatory and supply-chain maturity, not just model performance. Hiring is engineering-heavy (9 roles) with a steep intern-to-senior ratio, indicating rapid onboarding alongside retention challenges typical of pre-market medical-device firms.

Tech Stack 43 technologies

Core StackHelm Solidworks C++ Python AWS Docker Kubernetes PyTorch TensorFlow C# GitHub PowerPoint Excel Dependency-Check CycloneDX SPDX Altium Designer OrCAD Allegro C Microsoft Office R GCP Azure TensorRT ONNX Runtime CUDA PowerShell Bash Git+13 more

What Spectral AI Is Building

◆Challenges

Managing multiple trials simultaneously
Budget constraints
Addressing design integration risks
Maintaining quality management system
Compliance with fda regulations
Embedding cybersecurity into design controls
Obsolete component issues
Tight timelines
Improving data pipeline for model training
Diagnosing data accuracy and flow issues

▲Active Projects

Ai/ml driven medical diagnostic imaging device
Sbom creation and maintenance
Vulnerability scanning across firmware, software, cloud services
Cybersecurity sop development
New medical imaging systems
Fixture design and testing
System level performance testing
Truthing event
Scalable infrastructure for medical imaging ai workflows
Model serving pipelines integrating with clinical software

Hiring Activity

Accelerating15 roles · 6 in 30d

Department

Engineering

9

Data

2

Research

1

Seniority

Intern

4

Junior

3

Senior

3

Mid

2

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About Spectral AI

Spectral AI is a Dallas-based public company building DeepView®, a predictive diagnostic system for wound care—initially focused on burn assessment. The platform uses algorithm-driven image analysis to give clinicians objective, real-time insight into a wound's healing trajectory, aiming to accelerate treatment decisions and reduce costs. The company operates across medical imaging, embedded systems, and cloud infrastructure (AWS, GCP, Azure), with active work on fixture design, system-level performance testing, and clinical software integration. Current operations span 51–200 employees across engineering, data science, and research; hiring is concentrated in the U.S. and accelerating.

HeadquartersDallas, TX

Company Size51–200 employees

Hiring MarketsUnited States