Top 12 Fpga engineer google Jobs

Silicon System and Software Integration Engineer, TPU
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- Full-time
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Senior Silicon System and Software Integration Engineer, Google Cloud
Google —Sunnyvale, CA
- $163,000 - $237,000 a year
- Full-time
- Computer science
- Computer Science
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Firmware Engineer III
Google —Sunnyvale, CA
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- Full-time
- Computer science
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- 5 years
Senior Hardware Systems Design Engineer, Platforms Infrastructure
Google —Sunnyvale, CA
- $159,000 - $231,000 a year
- Full-time
- Master's degree
- Doctor of Philosophy
- Computer networking
Senior Power Integrity Engineer, Platforms Infrastructure
Google —Sunnyvale, CA
- $159,000 - $231,000 a year
- Full-time
- System design
- Research
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Product Engineer, Machine Learning Accelerators, Google Cloud
Google —Sunnyvale, CA
- $171,000 - $248,000 a year
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- Doctor of Philosophy
3d
Silicon System and Software Integration Engineer, TPU Cloud
Google —Sunnyvale, CA
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- Computer Science
- Master's degree
Senior Product Engineer, Machine Learning Accelerators
Google —Sunnyvale, CA
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Senior Hardware Systems Design Engineer, Board and Systems
Google —Sunnyvale, CA
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- Master's degree
- Doctor of Philosophy
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Tech Lead, SoC Design
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- $192,000 - $279,000 a year
- Full-time
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Senior Silicon Validation Engineer
Google —Mountain View, CA
- $163,000 - $237,000 a year
- Full-time
- Computer science
- Computer Science
- Laboratory experience
9d
ASIC Design Verification Engineer, Platforms and Devices
Google —Mountain View, CA
- $138,000 - $198,000 a year
- Full-time
- Computer science
- Computer Science
- Master's degree

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Silicon System and Software Integration Engineer, TPU

Google -
Sunnyvale, CA

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Job Details

Full-time
$138,000 - $198,000 a year

Qualifications

Feature validation testing
Computer science
Systems integration
Software engineering
Defect resolution root cause analysis
Computer Science
Bachelor's degree in electrical engineering
Embedded systems
FPGA
Operations coordination
Defect analysis
Electronics test plan development
Firmware
Mid-level
Electrical engineering
Firmware development
Master's degree
Doctoral degree in Computer Science
Collaboration with product development teams
C++
Digital circuit design
Doctor of Philosophy
Computer hardware
System validation
Doctoral degree in computer engineering
Design engineering
Computer Engineering
RTOS
Master's degree in electrical engineering
Engineering product development

Full Job Description

Minimum qualifications:

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
4 years of experience in two or more of the following areas: computer architecture, embedded firmware, ASIC design or verification, or integration and enablement of first- or third-party IP.
Experience in hardware and software integration or validation.
Experience with RTL development, design verification, or evaluation.

Preferred qualifications:

Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
Experience with C++/Python software design principles.
Experience integrating complex hardware/software systems.
Experience developing firmware for embedded systems or accelerators.
Proficiency in debugging firmware using simulation tools or working knowledge of RTOS internals.

About the job

In this role, you’ll 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 Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's 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.

In this role, you will be working on cutting-edge ASIC development, validation, software, tools, and methodologies and have the ability to push the boundaries of chip-development and hardware/software integration and validation.

Own cross-functional work streams focused on hardware/software (HW/SW) integration and validation to demonstrate HW, SW, and system functionality and performance. Help the chip team accomplish key silicon development criteria, meet chip and system schedules and achieve readiness for production in various silicon and system validation environments. Serve as a key bridge between specification, design, and verification teams as well as compiler and performance teams with technical depth and breadth across the ML compute IP.

You may write firmware, RTL, scripts, or test content to integrate and demonstrate subsystem and system functionality. You will validate this functionality on simulation, emulation, or post-silicon environments.

You will support demonstrating and delivering that complex hardware and software systems are functional and performant. You will support the coordination, debug, and ennoblement of the platform.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $138000 - $198000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Review chip spec and design, develop the integration plan with SW and System partners, coordinate HW and SW delivery and demonstrate functionality.
Assist bringup of ML Compute features. Integrate and validate complex hardware and software designs, including first- and third-party IPs. Develop firmware to help validate hardware functionality.
Utilize HW-SW co-simulation methodologies leveraging RTL simulation, Emulation, FPGA environments as appropriate. Leverage architectural simulators or performance models as required to correlate performance.
Develop detailed test plans, based on design specifications coordinated with a cross-functional team (e.g. design, DV, firmware, compiler, architecture).
Assist debug discussions with Design/DV/SW/Architecture teams and help root-cause functional failures and performance issues through the product development cycle. Improve validation coverage and sign-off processes for high-quality tapeout and production deployment.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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fpga engineer google jobs

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