Firmware Engineer - Real-Time Embedded & Sensor Networks

Google DeepMind; Cambridge (MA); On-site; USD 132,000 - 189,000; Full time

Job summary

Google DeepMind in Cambridge, MA is seeking a firmware and embedded systems engineer to design and integrate low-level hardware interfaces and real-time software for cutting-edge AI hardware.

You will collaborate with hardware and software teams to implement RTOS‑based and bare‑metal solutions, drive sensor integration, real‑time processing, and deterministic behavior across multi‑node systems, while upholding safety, quality, and scalable performance for billions of users.

Qualifications

• Bachelor’s degree or equivalent practical experience in EE/CE/Physics.
• 2 years firmware and embedded systems development experience.
• 2 years RTOS experience (FreeRTOS/Zephyr) or bare-metal execution.

Responsibilities

• Architect unified low-level communications and sensor integration strategies across multi‑modal sensor and actuator nodes.
• Lead high-speed onboard embedded networking design with Ethernet, PHYs, MACs, and Linux DSA for deterministic traffic and low latency.
• Drive real-time signal processing and filtering on resource-constrained targets to maximize sensor data fidelity.
• Guide component selection, bus topology, power sequencing, and signal integrity for hardware bring-up.
• Establish hardware-in-the-loop testing and real-time diagnostic pipelines to validate firmware performance.

Skills

Firmware development

Embedded systems

RTOS

Education

Bachelor’s degree in Electrical/Computer Engineering, Physics, or related field

Tools

FreeRTOS

Zephyr

Job description

Google DeepMind in Cambridge, MA is seeking a firmware and embedded systems engineer to design and integrate low-level hardware interfaces and real-time software for cutting-edge AI hardware.

You will collaborate with hardware and software teams to implement RTOS‑based and bare‑metal solutions, drive sensor integration, real‑time processing, and deterministic behavior across multi‑node systems, while upholding safety, quality, and scalable performance for billions of users.