Lead GPU Embedded Systems Engineer

Google; Sunnyvale (CA); Sur place; USD 207 000 - 300 000; Plein temps

Résumé du poste

Google's GPU Data Plane team seeks a Software Lead to define system software powering next-generation compute systems for large-scale AI/ML infrastructure. You will bridge bare-metal, virtualization, and container-based workflows, driving performance and security across the data plane.

The role requires coordinating with product teams and external partners, shaping roadmaps, and influencing vendor standards while advancing GPU stack reliability and scalability across data centers.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products.
• 5 years of experience working with embedded operating systems.
• 3 years of experience with software design and architecture.
• Experience with system development, device drivers and Kernel programming.

Responsabilités

• Drive the design and development of next-generation GPU accelerator systems from concept to deployment, optimizing the hardware and software stack for data plane workloads.
• Identify value-added features for bare-metal, virtualized, and container-based use cases, and design in-band telemetry and control daemons to securely bridge host and guest environments.
• Integrate bleeding-edge vendor hardware security features into production software pipelines, evaluate architectural challenges across different CPU architectures, and recommend optimal system balance requirements.
• Anticipate the performance implications of continuous software advancements—such as in the Linux Kernel, VMs, containers, and networking—and adapt GPU systems accordingly.
• Define the GPU roadmap by collaborating with Google product teams and external partners, and derive a common architecture by strategically influencing vendors and standards committees.

Connaissances

Software development

Embedded systems

System testing

Kernel programming

Design & architecture

Device drivers

Formation

Bachelor's degree

Advanced degree preferred

Outils

PCIe

GPU programming

Linux internals

Linux kernel

Virtualization

C/C++

Description du poste

Google's GPU Data Plane team seeks a Software Lead to define system software powering next-generation compute systems for large-scale AI/ML infrastructure. You will bridge bare-metal, virtualization, and container-based workflows, driving performance and security across the data plane.

The role requires coordinating with product teams and external partners, shaping roadmaps, and influencing vendor standards while advancing GPU stack reliability and scalability across data centers.