Senior Embedded Software Engineer
Listed on 2026-05-16
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Software Development
Embedded Software Engineer, DevOps, AI Engineer, Cloud Engineer - Software
At Gatekeeper Systems
, we’re revolutionizing retail loss prevention and customer safety through a powerful combination of physical deterrents and cutting‑edge technology—including AI, computer vision, and facial recognition.
As a global leader with over 25 years of industry excellence and a growing, diverse team of 500 employees across offices in North America, Europe, Australia, and Asia, we’re driven by innovation, integrity, and impact. Join us and be part of a mission‑focused team that’s making a real difference in the future of retail, providing innovative solutions and services that redefine industry standards.
Summary
The Embedded Software Engineer develops software across Gatekeeper’s hardware ecosystem—including wheel devices, in‑store gateways, and edge systems. This role blends embedded development with IoT connectivity, gateway communication, and foundational support for cloud and data‑driven features. You’ll work closely with hardware, cloud, and data teams to build reliable, secure, and scalable components of our next‑generation loss‑prevention platform.
Location:
Onsite in Foothill Ranch 4‑5 days per week. Must be able to commute.
- Attractive Total Compensation Package, including annual bonus
- Comprehensive healthcare benefits including medical, dental, and vision coverage;
Life/ADD/LTD insurance; FSA/HSA options. - 401(k) Plan with Employer Match
- Generous Paid Time Off (PTO) policy
- Observance of 11 paid company holidays
- Various Employee Engagement Events
- Exciting Growth Opportunities
- Positive Company Culture
The Embedded Software Engineer is responsible for embedded systems development from concept through production, including requirements, architecture, coding, testing, and release.
Core Responsibilities- Develop and maintain firmware across embedded Linux platforms and device drivers.
- Build firmware applications for Gatekeeper and Face First devices; optimize existing firmware for performance, power usage, and reliability.
- Develop internal tools for data collection, testing, diagnostics, and performance validation.
- Investigate problem reports; identify root causes; implement fixes; document solutions.
- Participate in technical reviews of hardware, firmware, and software requirements.
- Create architecture, design, and detailed technical documentation.
- Approve test/validation methods and collaborate closely with SQA.
- Support product integration across gateways, cameras, BLE devices, edge computing, and cloud services.
- Build firmware supporting BLE, Wi‑Fi, RF, and modern IoT protocols (MQTT, Web Sockets, REST).
- Integrate with Gatekeeper’s edge gateways, including containerized applications (Docker), device management agents, and OTA update mechanisms.
- Support data ingestion pipelines feeding cloud analytics and AI/ML systems (Azure/GCP).
- Work with cross‑functional teams to enable sensor fusion, data streams, and APIs connecting edge devices to backend platforms.
- Contribute to long‑term modernization of the embedded stack (Linux optimizations, secure boot, diagnostics, and telemetry).
- Bachelor’s or master’s in electrical engineering, computer‑science, or related field.
- 5+ years of embedded software design and development experience.
- Proficient in C/C++, Python, and Linux‑based development.
- Deep experience with embedded Linux, including kernel, u‑boot, and driver‑level work.
- Familiarity with Yocto or other embedded Linux build systems.
- Working knowledge of containerization, either Docker or Kubernetes.
- Experience with wireless systems (BLE, Wi‑Fi, RF) and communication protocol design.
- Strong skills in debugging, test automation, and use of oscilloscopes, logic analyzers, etc.
- Ability to analyze performance, optimize memory footprint, and design for low‑power systems.
- Strong analytical, mathematical, and problem‑solving abilities.
- Experience developing edge gateways (Intel/ARM SBCs, containers, virtualization).
- Knowledge of IoT systems and device‑to‑cloud architectures (Azure IoT, GCP IoT Core equivalents).
- Understanding of sensor fusion, computer vision pipelines, or…
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