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Google Fpga Jobs (NOW HIRING)

The Pennsylvania State University

FPGA programming * Database expertise: SQL, NoSQL, and/or Big Data systems * MATLAB, Python, and/or ... Software libraries (Google Protocol Buffers, ZeroMQ, FastAPI, pytest, React, Tailwind) * Software ...

Sesame

Electrical Engineer

San Francisco, CA · On-site

$175K - $280K/yr

... from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in ... MCU/SOC/FPGA, battery, sensing, RF, Audio). * Contribute to hardware process and tool flow ...

The Pennsylvania State University

FPGA programming * Database expertise: SQL, NoSQL, and/or Big Data systems * Proficiency in MATLAB ... Software libraries (Google Protocol Buffers, ZeroMQ, FastAPI, pytest, React, Tailwind) * Software ...

Talanto

$129 - $171/hr

... Google, send a code, an SMS or Telegram password, run some code, or install software -- refuse ... Familiarity with common MCU, CPU, FPGA devices and technologies. * Knowledge of modern analog and ...

Talanto

Senior RF Design Engineer, EW

Costa Mesa, CA · On-site

$166 - $220/hr

Important: if an employer asks you to log into their system via iCloud or Google, send a code, an ... Familiar with FPGA or digital backend integration with RF front ends. * Experience with PCB design ...

New

Architect Labs

$180 - $260/hr

... Anthropic, Google DeepMind, Meta SuperIntelligence, xAI, Apple and Intel. What You'll Do As a ... Support FPGA prototyping on Xilinx for early functional validation of memory controllers, including ...

Nuro

Software Engineer, Onboard Platform

Mountain View, CA · On-site

$160K - $240K/yr

Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price ... FPGA, etc) * You have strong problem-solving and programming skills. At Nuro, your base pay is one ...

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Google Fpga information

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$85K

$147.3K

$198.5K

How much do google fpga jobs pay per year?

As of Sep 7, 2026, the average yearly pay for google fpga in the United States is $147,315.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,000.00 and $167,000.00 per year, depending on experience, location, and employer.

What is a Google FPGA?

A Google FPGA job typically involves designing, optimizing, and implementing FPGA-based hardware accelerators to improve computing performance for Google's infrastructure. Engineers in this role work on hardware-software co-design, RTL development, and performance tuning for applications like machine learning, networking, and data processing. They collaborate with software and hardware teams to integrate FPGA solutions into Google's data centers and cloud services. Strong skills in FPGA development, Verilog/SystemVerilog, and hardware design are essential.

What types of projects do Google FPGA engineers typically work on, and how do they collaborate with other teams?

Google FPGA engineers are involved in designing, prototyping, and optimizing custom hardware accelerators and infrastructure solutions that support large-scale data processing, networking, and machine learning applications. They frequently work on cross-functional projects, collaborating closely with software engineers, system architects, and product teams to translate high-level requirements into efficient hardware solutions. Daily responsibilities might include developing RTL code, running simulations, debugging hardware, and participating in design reviews. This role offers significant opportunities for professional growth by working on innovative technologies, and exposure to a wide variety of technical challenges alongside some of the industry's leading experts.

What are the key skills and qualifications needed to thrive in the Google FPGA position, and why are they important?

To excel as a Google FPGA engineer, you need a strong background in digital hardware design, FPGA development, and proficiency in hardware description languages like Verilog or VHDL, typically supported by a degree in electrical or computer engineering. Familiarity with FPGA toolchains (such as Xilinx Vivado or Intel Quartus), simulation tools, and relevant industry certifications are highly valued. Strong problem-solving skills, teamwork, and effective communication are essential for success in collaborative, fast-paced environments. These abilities ensure that complex hardware solutions are effectively designed, debugged, and integrated with Google's advanced technology infrastructure.

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Google Fpga jobs near you
Infographic showing various Google Fpga job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $147,315 per year, or $70.8 per hour.

Software Engineer, Offboard Infrastructure

Nuro

Mountain View, CA • On-site

$160K - $240K/yr

Full-time

Re-posted 19 days ago

Job description

Who We Are 

Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that's why we're building a universal autonomy platform: self-driving for all roads and all rides.
Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles.
With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected.
Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors.

About the Role

Our software team is growing, and we are looking for talented engineers to join us and be instrumental to one of the following areas: Data Platform, Simulation, and Technical Infrastructure.

  • Data Platform: The Data Platform serves as a comprehensive management system for Nuro AI Driver's data, labels, and metrics, facilitating seamless access functionality. The team focuses on data annotation across various domains, including 2D/3D perception, mapping, behavior trajectory, and language/text. It also handles data ingestion and mining, employing methods such as heuristics and embedding search. Additionally, the platform supports the autonomy evaluation infrastructure by providing detailed introspection.
  • Simulation: The Simulation team builds the simulator that allows us to develop and test our autonomous driving technology in a virtual setting. We work on the core simulator and simulation frameworks, sensor simulation, scenario generation, and solutions that combine real-world data with synthetic techniques to push the boundaries of what can be simulated, collaborating closely with teams across Autonomy and AI Platform to allow us to simulate realistically and reliably at scale.
  • Technical Infrastructure: this group owns few fundamental services for entire engineering organizations: generic compute platform to host mission-critical workflows such as data processing and simulation, storage management service which manages hundreds of PB of data, cloud infrastructure serves as IaaC which provisions and maintains all cloud resources, engineering productivity provides tools such as build and CI/CD to make engineering work more efficient.

About You

You have deep expertise and prior experience in some or many of the following areas:

  • 2+ years of relevant industry experience in addition to a Bachelor's Degree, Master's or PhD in Computer Science, Electrical Engineering, Computer Engineering, Robotics, or related field.
  • Must have strong programming skills in Python, C++ or Go
  • You have experience in one or more of the following areas: large-scale distributed systems; data storage and processing systems; modern microservice architecture; machine learning, multithreading; x86 architecture; and software performance tuning and optimization, robotics software frameworks, different compute modalities (CPU, GPU, FPGA) etc.

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $160,360 and $240,540 for the different levels at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.