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Software Engineer - Embedded & Edge (Real-Time)

3 months, 3 weeks ago
Mexico, Brazil
Full-time
Mid Level
Embedded Systems Engineer
Software Development
C++ CI/CD Computer Vision DNS Linux Machine Learning Microservices Python TCP/IP
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Derq

Derq

Derq is a Dubai-based MIT spinoff that leverages AI, machine learning, and V2X technologies to eliminate road accidents and save lives. Their award-winning platform provides real-time analytics, alerts to connected vehicles, and infrastructure, making ...

Road & Rail
11-50
Founded 2016
View All Jobs 2

Description

  • Design, develop, and maintain production-grade software systems across edge and cloud environments with a focus on performance, reliability, and low latency.
  • Build and optimize real-time data processing and inference pipelines, including integration of ML models into production systems.
  • Implement features and enhancements within an 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, operating system, and network layers.
  • Support and optimize edge systems, including hardware and software integration with sensors, cameras, and traffic controllers.
  • Build and operate edge coordination mechanisms such as heartbeats, failover, and recovery.
  • Design and maintain backend services, APIs, and internal tools for system operation and monitoring.
  • Improve system observability through logging, monitoring, diagnostics, and performance tracking.
  • Develop and maintain CI/CD pipelines for build, packaging, deployment, and rollback across edge and cloud environments.
  • Collaborate with ML, QA, and deployment teams to integrate, test, and support systems in real-world deployments.

Requirements

  • 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.
  • Proficiency in C++ or Python; experience with 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, including TCP/IP, DNS, routing, and 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.

Interested in this position?

Apply directly on the company website

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