Embedded Systems Engineer - Wearables & Edge AI

MaxIT Consulting - Max Corporate Group; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

MaxIT Consulting - Max Corporate Group in the SF Bay Area is seeking an Embedded Software Engineer – Wearables & Edge Systems to work at the intersection of wearable hardware, firmware, cloud systems, and real-time AI infrastructure.

The role focuses on firmware near the device, with opportunities to influence hardware specs, device SDKs, and backend data pipelines, using C/C++ (and Rust) across embedded Linux/RTOS environments while shipping production systems.

Qualifications

• 1-4 years of relevant engineering experience.
• Hands-on firmware or embedded systems experience.
• Experience with embedded Linux, RTOS, device SDKs, or comparable low-level systems.
• Strong backend or systems engineering fundamentals.
• Comfort working close to hardware and debugging across software and device boundaries.
• Experience shipping production systems in fast-moving engineering environments.

Responsibilities

• Work directly with wearable-device firmware and hardware platforms.
• Flash, configure, adapt, and integrate vendor firmware and device software.
• Work with embedded Linux, RTOS environments, and/or device SDKs.
• Evaluate camera, sensor, compute, battery, thermal, and latency requirements.
• Contribute to hardware specifications and technical discussions with external manufacturing partners.
• Develop backend infrastructure supporting real-time multimodal data pipelines.
• Work close to the system layer using technologies such as C, C++, or Rust where appropriate.
• Own components across device, backend, and cloud infrastructure.

Skills

Firmware development

C/C++

Rust

Embedded Linux

RTOS

Backend fundamentals

Hardware debugging

Tools

Device SDKs

Linux tooling

Job description

MaxIT Consulting - Max Corporate Group in the SF Bay Area is seeking an Embedded Software Engineer – Wearables & Edge Systems to work at the intersection of wearable hardware, firmware, cloud systems, and real-time AI infrastructure.

The role focuses on firmware near the device, with opportunities to influence hardware specs, device SDKs, and backend data pipelines, using C/C++ (and Rust) across embedded Linux/RTOS environments while shipping production systems.