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Hardware Architect Machine Learning jobs at Google in United States, Sunnyvale

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Company (1)
Job type
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Job title (1)
United States
State
Sunnyvale
391 jobs found
10.11.2025
G

Google Senior Hardware Systems Design Engineer Board United States, California, Sunnyvale

09.11.2025
G

Google FPGA Engineer Platforms Hardware United States, California, Sunnyvale

Limitless High-tech career opportunities - Expoint
Description:
This is a specialized role which requires physical interaction with hardware equipment in a simulated data center environment, utilizing Google labs, power, and safety equipment. Regular development and processing of engineering hardware must be performed on site.

Minimum qualifications:
  • PhD degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
  • 4 years of experience working in an ASIC or FPGA design technical environment, or 3 years of experience with an advanced degree.
  • Experience with Register-Transfer Level design using Verilog or SystemVerilog.
  • Experience in the FPGA/ASIC development lifecycle, including synthesis, timing closure, and logic simulation.
  • Experience with common hardware communication protocols such as Ethernet, PCIe, I2C, and SPI and common on chip system bus protocols such as AXI4, Avalon etc.
  • Experience with FPGA design and verification tools (Vivado, Quartus) and industry-standard simulation software.

Preferred qualifications:
  • Master's or PhD degree in Electrical Engineering, Computer Engineering, Physics, or a related field.
  • 1 year of experience in technical leadership, leading FPGA projects or ASIC block development.
  • Experience with version control systems such as Git or Perforce for collaborative code development.
  • Experience with hardware and system design, and deploying and debugging hardware products in a large-scale data center environment.
  • Experience with server management technologies such as Data Center-Secure Control Module (DC-SCM), Low-voltage differential signaling Tunneling Protocol and Interface (LTPI), and system bootstrapping logic.
  • Proficiency with scripting languages for automation, such as Python or Tcl.
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Limitless High-tech career opportunities - Expoint
Description:
Minimum qualifications:
  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
  • 4 years of experience working in a hardware design technical environment or 3 years of experience with an advanced degree.
  • Experienced in electronics principles, circuit design, PCB design, and layout.

Preferred qualifications:
  • Master's or PhD degree in Electrical Engineering, Computer Engineering, Physics, or a related field.
  • 1 year of experience in technical leadership.
  • Experience with enterprise-class hardware systems design. Experience with data center engineering, server, storage, and networking products.
  • Experience with FPGA/CPLD design and interfacing with other disciplines, including software, signal integrity, thermal, and mechanical.
  • Experience in collecting and organizing details to reproduce results and explain the outcomes.
  • Experience solving system issues, technical innovation, and driving technical roadmaps.
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Are you an experienced machine learning (ML) hardware architect looking for the next challenge? In the Tech Industry, this experienced individual is needed to ensure the optimal design and implementation of ML hardware components. The position opens up at Google, located in Sunnyvale, United States. This is an excellent opportunity for the right person to join a tech giant and become an essential component of Google’s ML research and development team. Working independently and collaboratively with multiple teams, you will be accountable for delivering innovative and high-performance ML hardware architectures. In this role, you will be responsible for analyzing existing ML algorithms and hardware designs, drafting new and improved models, designing and researching new system architectures and components, and developing simulations for new ML systems, as well as facilitating ML system deployment to production. You will need to have extensive knowledge of Intel/Nvidia/AMD hardware platforms, strong coding skills in C#, C++ or Python, experience in developing ML platforms and full stack, deep learning and reinforcement learning frameworks, and experience working with big data, cloud computing, and deep learning frameworks. If you have the skills to analyze complex data sets and devices, understand the potential of ML hardware architectures, and have a strong understanding of software development in AI/ML, then this could be the perfect role for you. Are you ready to join the ranks of Google’s ML hardware architecture team? Take a chance and apply for this exciting opportunity through Expoint, your one-stop shop for tech industry jobs.