Embedded Software Engineer – Wearables & Edge Systems

MaxIT Consulting - Max Corporate Group; San Francisco (CA); On-site; USD 110,000 - 170,000; Full time

Job summary

MaxIT Consulting - Max Corporate Group in San Francisco is seeking an embedded firmware engineer to develop and integrate firmware for wearable devices and edge systems, coordinating closely with hardware platforms and vendor software.

You will also build backend infrastructure to support real-time multimodal data pipelines across device and cloud layers, ensuring robust performance in hardware-constrained environments.

Qualifications

• Candidates need 1 to 4 years of experience in embedded systems, firmware, or low-level systems like RTOS and embedded Linux.
• Strong fundamentals in backend engineering and experience shipping production systems in hardware-constrained environments are required.

Responsibilities

• The engineer will develop and integrate firmware for wearable devices and edge systems, working closely with hardware platforms and vendor software.
• They will also build backend infrastructure to support real-time multimodal data pipelines across device and cloud layers.

Skills

Firmware

Embedded Linux

RTOS

C

C++

Rust

Backend Engineering

Device SDKs

Hardware Integration

Real-time AI Infrastructure

Multimodal Data Pipelines

System Debugging

Job description

The engineer will develop and integrate firmware for wearable devices and edge systems, working closely with hardware platforms and vendor software. They will also build backend infrastructure to support real-time multimodal data pipelines across device and cloud layers.

Requirements: Candidates need 1 to 4 years of experience in embedded systems, firmware, or low-level systems like RTOS and embedded Linux. Strong fundamentals in backend engineering and experience shipping production systems in hardware-constrained environments are required.

Key Skills: Firmware, Embedded Linux, RTOS, C, C++, Rust, Backend Engineering, Device SDKs, Hardware Integration, Real-time AI Infrastructure, Multimodal Data Pipelines, System Debugging