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DarkVision Tech Stack
Acoustic imaging platform for industrial asset integrity inspection
DarkVision builds hardware and software for ultrasound-based inspection of critical industrial infrastructure. The tech stack reveals a dual-track operation: embedded systems (C++, CUDA, Embedded Linux) for sensor array and high-speed electronics, paired with a full cloud backend (AWS, Docker, Kubernetes, PyTorch, Vertex AI) for ML-driven analytics and visualization. Active hiring across engineering, data, and manufacturing—with a mid-level hiring bias—aligns with the project roadmap of scaling petabyte-scale ultrasound datasets, next-gen imaging tools, and cross-vertical platform expansion.
Tech Stack 47 technologies
Core StackAWS Docker FastAPI Django Flask Python JavaScript TypeScript React Vue PostgreSQL AWS RDS AWS Lambda CloudWatch Kubernetes Prefect PyTorch C++ Jira MLflow Amazon SageMaker Vertex AI Altium Designer AWS ECS API Gateway OAuth JWT JAX CUDA Embedded Linux+17 more
What DarkVision Is Building
◆Challenges
- Ensuring uninterrupted assembly flow
- Rapid team scaling
- Value engineering opportunities
- Reducing pcb costs
- Designing for high-temperature high-pressure environments
- Improving design for manufacturability
- Troubleshooting real-time field issues
- Scaling platform for petabyte data
- Reproducible training workflows
- Optimizing supply network
▲Active Projects
- Interactive dashboards and data visualizations
- Ai engine bridging hardware and cloud
- Desktop visualization application
- Capital equipment procurement
- Research apparatus development
- Supplier selection & development
- Next generation ultrasound tools
- Continuous improvement of inspection tools
- New layout techniques
- Web-based reporting applications for ultrasound inspection data
Hiring Activity
25 roles · 20 in 30d
Department
Seniority
Company intelligence
