Firmware/Embedded Engineer, Sensing and Comms, DeepMind

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

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
• 2 years of experience working in firmware and embedded systems development.
• 2 years of experience with Real-Time Operating System (RTOS) environments (e.g., FreeRTOS, Zephyr) or bare-metal execution models.

Minimum qualifications

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
• 2 years of experience working in firmware and embedded systems development.
• 2 years of experience with Real-Time Operating System (RTOS) environments (e.g., FreeRTOS, Zephyr) or bare-metal execution models.

Preferred qualifications

• Master's or PhD degree in Electrical Engineering, Computer Engineering, Physics, or a related field.

About the job

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer various learning opportunities and career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $132000 - $189000 (USD) + 15% bonus target + equity + benefits.

Responsibilities

Learn more about benefits at Google .

• Architect unified low-level communications and sensor integration strategies, establishing bus interface standards (SPI, I2C, UART, CAN-FD) across multi-modal sensor and actuator nodes.
• Lead high-speed onboard embedded networking design, including Ethernet switches, PHYs, MACs, and Linux DSA ensuring deterministic traffic flow and low-latency throughput between microcontrollers and compute modules.
• Drive real-time signal processing and filtering algorithms on resource-constrained targets to maximize sensor data fidelity before high-frequency control loops.
• Bridge Electrical and Systems teams by guiding component selection, bus topology, power sequencing, and signal integrity for seamless hardware bring-up.
• Establish hardware-in-the-loop (HIL) testing, deterministic safety mechanisms, and real-time diagnostic pipelines to rigorously validate firmware performance under harsh conditions.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .