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Intelligent transportation systems for smarter, safer roads
Software Engineer - Embedded & Edge (Real-Time)
Location
Mexico
Posted
18 days ago
Salary
0
Seniority
Mid Level
Job Description
Software Engineer - Embedded & Edge (Real-Time)
Derq
Role Description We’re looking for a Software Engineer to work on real-time, performance-critical systems powering traffic detection and smart mobility solutions. - Focus on building and optimizing software that runs across edge devices and cloud systems. - Strong exposure to low-latency processing, system performance, and hardware integration. - Own and contribute to critical system components end-to-end, including system behavior in production—covering performance, reliability, observability, networking, and deployments. - Primarily a real-time / edge systems role, with backend exposure and light frontend work for internal tools, dashboards, APIs, and system monitoring. - Work on live traffic deployments, where robustness, fault tolerance, and performance directly impact safety-critical infrastructure. Qualifications - 3–5 years of experience in software engineering or a related field. - Strong experience in real-time systems, high-performance backend systems, or edge/embedded computing. - Proficient in C++ or Python (both is a strong plus). - Solid understanding of Linux systems, multithreading, concurrency, and system performance optimization. - Experience debugging complex systems in production environments. - Experience with testing frameworks and CI/CD pipelines. - Working knowledge of networking fundamentals (TCP/IP, DNS, routing, basic VPN/proxy concepts). - Exposure to hardware integration, sensors, or edge devices is a plus. - Familiarity with computer vision pipelines or ML systems is a plus. Requirements - Design, develop, and maintain production-grade software systems across edge and cloud with a focus on performance, reliability, and low latency. - Build and optimize real-time data processing and inference pipelines, integrating ML models into production systems. - Implement features and enhancements within existing system architecture and design guidelines. - Profile, optimize, and debug system behavior across CPU, memory, I/O, networking, and distributed systems. - Troubleshoot and resolve complex production issues across application, OS, and network layers. - Support and optimize edge systems, including hardware–software integration with sensors, cameras, and traffic controllers. - Build and operate reliable edge coordination systems (e.g., heartbeats, failover and recovery mechanisms). - Design and maintain backend services, APIs, and internal tools for system operation and monitoring. - Improve system observability through logging, monitoring, diagnostics, and performance tracking. - Design and maintain networking components (e.g., VPNs, proxies, routing, secure edge–cloud connectivity). - Develop and maintain CI/CD pipelines for build, packaging, deployment, and rollback across edge and cloud environments. - Implement secure access control and system isolation mechanisms on Linux-based systems. - Collaborate with ML, QA, and deployment teams to integrate, test, and support systems in real-world deployments. Benefits
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