
11 - 50 employees
Founded 2016
🤖 Artificial Intelligence
🚗 Transport
☁️ SaaS
💰 Venture Round - Derq on 2024-10
Artificial Intelligence • Transport • SaaS
Derq is an MIT spinoff that develops AI-powered intelligent transportation systems to improve road safety and optimize traffic flow. Its hardware-agnostic platform uses computer vision, machine learning, and sensor fusion to detect, track, and predict road user behavior in real time, integrating with existing sensors, traffic controllers, and V2X technologies. Derq offers cloud-based analytics and real-time alerting products (Derq INSIGHT and Derq SENSE) for cities and agencies, focusing on reducing collisions, identifying safety hotspots, and improving traffic performance.
🕒 April 24
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11 - 50 employees
Founded 2016
🤖 Artificial Intelligence
🚗 Transport
☁️ SaaS
💰 Venture Round - Derq on 2024-10
Artificial Intelligence • Transport • SaaS
Derq is an MIT spinoff that develops AI-powered intelligent transportation systems to improve road safety and optimize traffic flow. Its hardware-agnostic platform uses computer vision, machine learning, and sensor fusion to detect, track, and predict road user behavior in real time, integrating with existing sensors, traffic controllers, and V2X technologies. Derq offers cloud-based analytics and real-time alerting products (Derq INSIGHT and Derq SENSE) for cities and agencies, focusing on reducing collisions, identifying safety hotspots, and improving traffic performance.
• Design, develop, and maintain production‑grade software systems with a focus on performance, reliability, and scalability • Optimize system behavior for real‑time, low‑latency environments, including edge and cloud components • Design, implement, and refine core system logic that improves platform performance, reliability, and scalability under real‑world conditions. • Profile, analyze, and optimize system performance across CPU, memory, I/O, and networking • Improve system observability through logging, monitoring, and diagnostics • Work on end‑to‑end development, from design and implementation to testing, deployment, and support • Collaborate with Deployment, ML, and Systems teams to validate and support improvements in production‑like and live environments. • Debug and resolve complex production issues involving distributed or real‑time systems • Write clean, maintainable, and well‑tested code following engineering best practices • Participate in code reviews and contribute to improving engineering standards and tooling • Support production systems post‑deployment and assist with performance tuning and issue resolution
• Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or a related field • 10+ years of professional experience in software engineering, systems engineering, or performance‑critical systems • Strong hands‑on experience with modern C++ • Solid experience working with Linux‑based systems • Experience building and optimizing real‑time, high‑throughput, or low‑latency systems • Strong understanding of: • - Data structures and algorithms • - System performance and resource optimization • - Debugging complex system behavior • Experience with automated testing, system validation, and production debugging • Familiarity with distributed systems concepts and system reliability • Strong problem‑solving skills and ownership mindset
Apply Now🕒 April 24
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