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Embedded Software Team Lead

·Israel
On-siteFull-timeHardware Engineering

Lead a team of embedded software engineers and remain hands-on with architecture, design, and implementation. Focus on real-time systems, performance, and safety. Requires deep C/C++ and Embedded Linux/RTOS expertise, plus 2-3 years leadership experience.

Responsibilities

  • Lead and mentor a team of embedded software engineers, setting priorities and fostering high performance
  • Provide technical guidance, perform code reviews, and resolve complex technical challenges
  • Architect, design, and implement embedded software (approximately 50% hands-on coding/design)
  • Develop robust real-time systems with a focus on performance, scalability, and safety
  • Ensure best practices in coding standards, unit testing, and CI/CD integration
  • Collaborate with hardware and systems engineers for seamless software-hardware integration (SoCs, MCUs, sensors)
  • Own end-to-end delivery of embedded modules, from design to production
  • Translate product requirements into actionable technical tasks and roadmaps
  • Drive engineering process improvements for increased efficiency and code quality
  • Work closely with customers and Tier-1 partners on technical requirements and delivery commitments

Requirements

  • 8+ years of hands-on experience in embedded systems and C/C++ development
  • 2-3 years leading a small to medium-sized engineering team (technical mentorship and people management)
  • Deep expertise in Embedded Linux/RTOS environments
  • Experience with real-time signal processing and memory management
  • Proficiency in developing for heterogeneous architectures (CPU, GPU, MCU)
  • Familiarity with software architecture principles and Git-based development workflows
  • Strong communication skills with the ability to bridge technical and product needs
  • Startup-ready mindset: flexible, solution-oriented, and comfortable in fast-paced environments

Nice to have

  • Experience in the automotive industry (ASPICE, AUTOSAR, ISO 26262)
  • Experience with AI-acceleration software

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