Software Engineer

At Intenseye, we believe protecting people at work is non-negotiable.

That’s why we’re building the world’s most advanced AI-powered platform for industrial environments, designed to help organizations move from reactive programs to proactive risk prevention across safety, operations, and quality management. Our technology gives enterprises the ability to see risk and inefficiency as they emerge, take action in real time, and prevent incidents before they happen.

Powered by cutting-edge AI and Intenseye’s proprietary Sentinel hardware, our platform delivers ethical, highly accurate intelligence across complex worksites. EHS, operations, and quality teams gain continuous leading indicators, deep operational insight, and unprecedented visibility into how work actually happens.

Today, Intenseye helps protect hundreds of thousands of workers across 25+ countries—and we’re just getting started.

What You’ll Do

• Build and own full-stack features across our React/TypeScript frontend and C++/Python backend, delivering polished end-to-end product experiences


• Design and implement high-performance, low-latency data pipelines that process real-time safety event streams from computer vision models


• Develop and maintain REST APIs and async backend services that power customer-facing dashboards and alerting workflows


• Collaborate closely with product, design, and Research teams to translate safety intelligence into intuitive, actionable interfaces


• Contribute to GCP-based cloud infrastructure and deployment pipelines to ensure reliability and scalability across distributed customer environments


• Engage directly with customers and internal stakeholders to understand problems and iterate quickly


• Champion engineering quality: performance profiling, code reviews, testing, observability, and documentation

• 5+ years of professional software engineering experience with meaningful full-stack ownership


• Proven track record at a startup or high-growth environment: you’ve worn multiple hats and delivered under real constraints


• Product and commercial mindset: you understand how engineering decisions connect to business outcomes


• Strong communication skills—you can collaborate cross-functionally, work with customers, and write clearly


• Startup mindset: high ownership, high velocity, pragmatic judgment


• BS in Computer Engineering, Computer Science, or related field preferred


• Familiarity in C++ in high-performance, low-latency, or real-time systems preferred


• Familiarity with Python—REST APIs, async services, data processing pipelines preferred, not required


• Familiarity with React and TypeScript preferred, not required


• Experience with real-time data pipelines, event-driven architectures, or streaming systems preferred, not required


• Familiarity with GCP and cloud-connected deployments preferred

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