Embedded Software Engineer

LHH is seeking to hire an Embedded Software Engineer responsible for building embedded firmware and edge software for real‑world, high‑reliability devices. You’ll work across embedded Linux and bare‑metal/RTOS, integrate with edge gateways and cloud analytics, and ship features used at scale.

Location
:
Hybrid in Irvine, CA (4 days a week)

Direct hire, full-time (NO C2C)

• Design, implement, and ship embedded firmware for Linux and bare‑metal/RTOS targets (ARM/STM
  32 or similar).
• Develop device applications and Python tools for diagnostics, data capture, and validation.
• Bring up boards and peripherals; write/maintain drivers and BSP components; work with U‑Boot and Yocto (or similar build systems).
• Implement secure connectivity with BLE, Wi‑Fi, Zigbee/802.15.4, and IoT protocols (MQTT, REST, Web Sockets).
• Integrate with edge gateways (Docker/containers, device‑management, OTA updates) and support data flows to Azure/GCP analytics/ML services.
• Optimize for low power, performance, and reliability; perform hands‑on debug and root‑cause analysis using oscilloscopes/logic analyzers.
• Contribute clear architecture/design docs, participate in design reviews, and collaborate with QA on test strategies and release readiness.

• BS/MS in EE/CS (or related) and 3–5+ years in embedded software/firmware.
• Strong C for embedded; practical Python for tooling/automation.
• Experience with embedded Linux (kernel/drivers, bootloaders such as U‑Boot) and Yocto (or Buildroot/Open Embedded).
• Proven board bring‑up, device driver work, and lab debug (scope, logic analyzer).
• Ability to optimize for battery/low‑power systems and write production‑grade, testable code.

• Edge gateway development on ARM/Intel SBCs;
  Docker at the edge; fleet OTA/device‑management.
• IoT device‑to‑cloud architectures (Azure IoT, GCP), telemetry, and secure boot.
• Experience with sensor fusion, computer vision, or on‑device ML/edge AI.
• Base Salary: $,000 per year
• Full benefits package
• Hybrid Work Schedule

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The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

• The California Fair Chance Act
• Los Angeles City Fair Chance Ordinance
• Los Angeles County Fair Chance Ordinance for Employers