intenseye - Software Engineer
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Requirements
• 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 • $160,000 - $200,000 a year • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Responsibilities
• 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
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