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Staff Software Engineer, GPU Embedded Systems

Google
Sunnyvale, USA
Senior · 8+ years experience
Onsite
USD 207000-300000 / year
Discovered 2 weeks ago
linux

Full Job Posting

Responsibilities

  • 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.

Minimum 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.

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures and algorithms.
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
  • Experience with PCI express, GPU programming, Linux internals, Linux Kernel, Virtualization, C or C+.

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