S

Seeing Machines Tech Stack

Computer vision safety platform for driver and operator monitoring across transport

IT Services and IT Consulting Fyshwick, Australian Capital Territory 201–500 employees Public Company

Seeing Machines builds AI-powered driver monitoring systems (DMS) using computer vision to detect drowsiness, distraction, and attention lapses across automotive, fleet, aviation, rail, and off-road sectors. The tech stack reveals a production-grade ML infrastructure—C++, Kubernetes, Prometheus, Grafana, Vertex AI, MLflow—paired with simulation frameworks (NVIDIA Isaac Sim, MuJoCo) and synthetic data pipelines, indicating heavy investment in edge deployment and model reliability. Active projects around edge inference, cost-to-serve optimization, and customer account penetration suggest the company is moving from R&D toward operational scaling and deeper land-and-expand within existing transport clients.

Tech Stack 24 technologies

Core StackC++ Docker AWS Kubernetes Terraform Ansible Jenkins Python Java Prometheus Grafana Jira Vertex AI Salesforce MLflow Azure GCP GitHub Enterprise PRTG Network Monitor AutoML BigQuery ML MuJoCo NVIDIA Isaac Sim Metaflow

What Seeing Machines Is Building

◆Challenges

Optimizing ai for embedded hardware
Maintaining system reliability
Managing incidents
Optimizing cost-to-serve
Increase penetration within client base
Retain and grow existing direct customers

▲Active Projects

Deploying ai models to edge devices
Developing high-performance c++ inference logic
Improving ml ops pipelines
Predictive analytics and anomaly detection
Frameworks and pipelines development
Cost-to-serve optimization
Regional customer account plans
Contract renewal and negotiation process
Guardian live
Simulation-driven synthetic data pipelines for computer vision and robotics

Hiring Activity

Accelerating6 roles · 4 in 30d

Department

Engineering

2

Design

1

Ops

1

Sales

1

Support

1

Seniority

Mid

4

Junior

1

Lead

1

Company intelligence

Find more companies like Seeing Machines by tech stack, pain points and active projects

Get started free

About Seeing Machines

Seeing Machines is a publicly traded Australian company delivering computer vision-based safety technology to global transport operators. The platform monitors driver and operator attention in real time, identifying drowsiness and distraction through analysis of heads, faces, and eyes. The company serves automotive OEMs, commercial fleet operators, aviation, rail, and off-road markets, with offices in Australia, USA, Europe, and Asia. At 201–500 employees, the organization is actively hiring across engineering, design, and sales roles in Australia and the UK, with recent project focus on deploying ML models to embedded hardware and optimizing customer acquisition and retention within core verticals.

HeadquartersFyshwick, Australian Capital Territory

Company Size201–500 employees

Hiring MarketsAustralia, United Kingdom

Frequently Asked Questions

What tech stack does Seeing Machines use?

C++, Python, Docker, Kubernetes, AWS/Azure/GCP, Jenkins, Prometheus, Grafana, Vertex AI, MLflow, and NVIDIA Isaac Sim for simulation and synthetic data generation.

What is Seeing Machines working on?

Deploying AI models to edge devices, developing C++ inference logic, improving ML ops pipelines, synthetic data generation for computer vision, and expanding customer penetration and contract renewals in transport verticals.