Required Staff Embedded Firmware Engineer, High Speed DSP
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
As a Staff Embedded Firmware Engineer for High-Speed DSP, you will architect and define the low-level firmware and control loops powering the world's most advanced physical-layer communications silicon. Sitting at the critical intersection of digital signal processing (DSP), hardware-software co-design, and real-time systems, you will lead the development of adaptive algorithms, error correction (FEC), and link-telemetry frameworks. Your work will directly bridge the gap between high-performance hardware pipelines and our planetary-scale AI infrastructure, transforming complex communication systems theory into reliable, real-time silicon execution.
Responsibilities
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 our AI infrastructure.
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
As a Staff Embedded Firmware Engineer for High-Speed DSP, you will architect and define the low-level firmware and control loops powering the world's most advanced physical-layer communications silicon. Sitting at the critical intersection of digital signal processing (DSP), hardware-software co-design, and real-time systems, you will lead the development of adaptive algorithms, error correction (FEC), and link-telemetry frameworks. Your work will directly bridge the gap between high-performance hardware pipelines and our planetary-scale AI infrastructure, transforming complex communication systems theory into reliable, real-time silicon execution.
Responsibilities
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 our AI infrastructure.
Requirements:
Minimum qualifications:
Bachelors 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.
Preferred qualifications:
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.
Minimum qualifications:
Bachelors 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.
Preferred qualifications:
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.
This position is open to all candidates.
