Pre-Silicon Validation Engineer, TPU, Google Cloud

Google is a global technology company that builds innovative solutions powering services used by millions worldwide.
$120,000 - $200,000
Hardware
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI

Description For Pre-Silicon Validation Engineer, TPU, Google Cloud

Google is seeking a Pre-Silicon Validation Engineer to join their TPU (Tensor Processing Unit) team within Google Cloud. This role is at the forefront of AI/ML hardware acceleration, working on cutting-edge TPU technology that powers Google's most demanding AI/ML applications. The position involves working with a diverse team developing custom silicon solutions for Google's TPU infrastructure.

The role combines hardware and software expertise, focusing on pre-silicon validation of Google Cloud TPU projects. You'll be responsible for creating software-based custom test cases, workloads, test generators, and debugging tools. The position involves silicon bring-up, validation, characterization, and qualification activities.

As part of the Technical Infrastructure team, you'll contribute to maintaining and developing Google's data centers and next-generation platforms. The role requires collaboration with Product Firmware, System Software, and ASIC Design teams to develop tools, validation firmware, and testing infrastructure.

The ideal candidate should have strong experience in Verilog/SystemVerilog, computer architecture, and digital design. Knowledge of FPGA platforms and experience with IP integration is crucial. This position offers the opportunity to work on technology that directly impacts millions of users worldwide through Google's AI/ML applications.

The role combines technical depth with cross-functional collaboration, requiring both hardware expertise and software understanding. You'll be working in an environment that values innovation and problem-solving, with access to cutting-edge technology and resources. This is an excellent opportunity for someone passionate about hardware validation and interested in shaping the future of AI acceleration technology.

Last updated 4 days ago

Responsibilities For Pre-Silicon Validation Engineer, TPU, Google Cloud

  • Enable bring-up of chip features through firmware and driver stack
  • Integrate and validate hardware and software designs in pre-silicon
  • Architect and design ASIC models for Emulation/FPGA Prototypes
  • Design RTL transformations to optimize mapping to Emulation/FPGA platforms
  • Bringup chip features on software reference models and hardware prototypes
  • Develop integration plan with software and system partners

Requirements For Pre-Silicon Validation Engineer, TPU, Google Cloud

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field
  • 3 years of experience in architecture, hardware, digital design, and software design
  • 2 years of experience in Verilog/SystemVerilog
  • Experience in computer architecture and digital design or IP integration (PCIe, DDR memory)

Interested in this job?

Jobs Related To Google Pre-Silicon Validation Engineer, TPU, Google Cloud

Technical Program Manager III, Hardware, Augmented Reality Glasses

Lead complex hardware and software programs for Google's AR glasses initiative, managing cross-functional teams and driving development from concept to completion.

Product Manager II, Hardware, Google Meet

Product Manager II position at Google focusing on hardware strategy and development for Google Meet, offering competitive compensation and opportunity to impact global video conferencing solutions.

GPU Silicon Architect

GPU Silicon Architect role at Google, developing custom silicon solutions for Tensor SOC, requiring 3+ years of experience in computer architecture and GPU optimization.

GPU Architect, Silicon

GPU Architect position at Google, focusing on developing custom silicon solutions and GPU architecture for Tensor SoC platform.

Battery Hardware Engineer, Platforms Infrastructure

Battery Hardware Engineer position at Google, focusing on designing and implementing power solutions for data center computing applications with competitive compensation and benefits.