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# Staff Embedded Firmware Engineer, High Speed DSP

- **Company:** Google LLC
- **Location:** Sunnyvale, CA, United States
- **Experience:** Expert
- **Salary:** $192,000.0 - $278,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Bit Error Rate, C++ (Programming Language), Computer Networks, Computer Engineering, Data Recovery, Embedded Software, Firmware, Monitoring of Systems, Real-Time Operating Systems, AI Infrastructure, High Performance Computing, Bare Metal
- **Published:** August 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d8da5db6267e1c43

## About the Role

* Bachelor's degree in Electrical Engineering, Computer Engineering, a related technical field, or equivalent practical experience.
 * 10 years of industry experience in embedded systems/firmware, communication systems engineering, or digital signal processing (DSP) development.
 * Experience developing embedded software (C/C++) for high-speed physical-layer interfaces (PHY), digital transceivers, or communication subsystems., * Master's degree or PhD in Electrical Engineering, Computer Engineering, or a related technical field.
 * Expertise in Forward Error Correction (FEC) algorithms and advanced modulation schemes.
 * Track record defining firmware framework specifications, register maps, and Silicon Lifecycle Management telemetry for high-volume networking or AI silicon.
 * Background in wireless communications with deep domain knowledge of channel modeling, noise mitigation, and digital transceiver architectures.

## Description

* Define the long-term firmware roadmap and hardware-software partitioning for physical-layer interfaces, determining the optimal balance between hardware-fixed logic and programmable firmwarm.
 * Architect advanced "in-situ" monitoring systems and firmware-driven diagnostics to track physical-layer link health, Bit Error Rate (BER) trends, and channel quality across millions of ports in real-time.
 * Design, model, and implement bare-metal or RTOS firmware to control high-speed transceivers, managing real-time adaptive loops, clock and data recovery (CDR), and physical-layer calibration.
 * Partner with TPU Systems, Networking Software, and High-Performance Computing (HPC) teams to ensure silicon firmware integrates seamlessly with global cluster management and collective communication frameworks.
 * Identify and de-risk hardware-software interface bottlenecks (e.g., register maps, driver latencies, and boot-up sequencing) that impact Google's AI infrastructure.

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.


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