Senior Software Engineer – Systems & Edge, Real-Time

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Derq

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Design, develop, and maintain production-grade software systems across edge and cloud environments. • Build and optimize real-time data processing pipelines and system services supporting live traffic deployments. • Develop and maintain backend services, REST APIs, and integrations with third-party platforms and services. • Contribute to internal web applications, dashboards, and operational tools used for monitoring and managing deployed systems. • Integrate software with sensors, cameras, traffic controllers, and other edge devices. • Profile, debug, and optimize system performance across application, operating system, and networking layers. • Troubleshoot and resolve complex production issues in distributed and real-time environments. • Improve system observability through logging, monitoring, diagnostics, and performance tracking. • Build and maintain CI/CD pipelines, deployment workflows, and automation tooling. • Collaborate with ML, QA, deployment, and product teams to deliver robust, production-ready solutions.

🎯 Requirements

• 8+ years of experience in software engineering or a related field • Strong experience with C++, Python, or both. • Solid Linux development experience. • Experience building, maintaining, or integrating backend services, REST APIs, and web applications. • Experience working with third-party APIs and software integrations. • Strong understanding of multithreading, concurrency, system performance, and production troubleshooting. • Working knowledge of networking fundamentals, including TCP/IP, DNS, routing, and secure connectivity. • Experience with Git, testing frameworks, and CI/CD practices. • Experience with cloud platforms, containerized applications, or distributed systems is a plus. • Exposure to edge computing, embedded Linux, hardware integration, sensors, or IoT systems is a plus. • Familiarity with frontend technologies, internal tooling, dashboards, or operational web applications is a plus. • Familiarity with computer vision pipelines or ML-powered systems is a plus.