Senior Embedded Firmware Engineer — Edge AI & RTOS

Hp Iq; San Francisco (CA); Hybrid; USD 140,000 - 225,000; Full time

Benefits offered by this job

Health insurance

Vision insurance

Disability insurance

Employee assistance program

Flexible spending account

Life insurance

4-12 weeks paid parental leave

11 paid holidays

Flexible paid vacation and sick leave

Job summary

HP IQ's Connectivity team seeks an Embedded Firmware Engineer with hands-on experience across RTOS and embedded Linux. You will bring up new hardware, develop firmware across core subsystems, and scale products from prototype to fleet deployment.

A key part of this role is enabling on-device intelligence—bringing AI models and sensing algorithms to edge devices with tight compute and power budgets, supporting over‑the‑air updates and field diagnostics.

Qualifications

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field.
• 5+ years of embedded firmware development experience spanning RTOS and embedded Linux.
• Strong C/C++ programming skills with grounding in drivers, interrupts, and power constraints.

Responsibilities

• Design, develop, and debug firmware across RTOS and embedded Linux platforms.
• Lead hardware bring-up — board bring-up, driver integration, and firmware support through to production.
• Develop and maintain firmware for connectivity, power and other sensors.
• Integrate lightweight model inference and sensing algorithms within tight compute, memory, and power budgets.
• Support fleet-scale deployment: OTA updates, field diagnostics, and post-launch sustainment.
• Collaborate with hardware, systems, and QA teams to troubleshoot system-level issues.

Skills

C/C++

RTOS

Embedded Linux

Board bring-up

JTAG/Scope/LA

OTA updates

Independent problem solving

Education

Bachelor's or Master's degree in CS/EE

Tools

JTAG

Oscilloscopes

Logic analyzers

Job description

HP IQ's Connectivity team seeks an Embedded Firmware Engineer with hands-on experience across RTOS and embedded Linux. You will bring up new hardware, develop firmware across core subsystems, and scale products from prototype to fleet deployment.

A key part of this role is enabling on-device intelligence—bringing AI models and sensing algorithms to edge devices with tight compute and power budgets, supporting over‑the‑air updates and field diagnostics.