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Google Electrical Engineering Jobs in Virginia (NOW HIRING)

Cymertek Corporation

Cloud Automation Engineer

Reston, VA · On-site

$58 - $77.75/hr

... g., AWS, Azure, Google Cloud) • Strong scripting skills in Python, Bash, or PowerShell • ... Systems, Electrical Engineering, Computer Engineering, or related field • TS/SCI Full Poly ...

Cymertek Corporation

Cloud Automation Engineer

Chantilly, VA · On-site

$57.50 - $77/hr

... g., AWS, Azure, Google Cloud) • Strong scripting skills in Python, Bash, or PowerShell • ... Electrical Engineering, Computer Engineering, etc. • TS/SCI Full Poly clearance • Full U.S.

Google

Area Scheduling Lead, Mid Atlantic

Reston, VA · On-site

As a Program Manager at Google, you'll lead complex, multi-disciplinary projects from start to ... The Data Center team designs and operates some of the most sophisticated electrical and HVAC ...

SynergisticIT

Junior/Entry Level Coder - Remote

Richmond, VA · On-site

$66K - $86K/yr

... Google, Paypal, Western Union, Client, Visa, Walmart Lab etc to name a few. Currently, we are ... Bachelors degree or masters degree in computer science, computer engineering, electrical ...

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Showing results 21-40

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Google Electrical Engineering information

What is a Google electrical engineering job?

A Google Electrical Engineering job involves designing, testing, and optimizing hardware and electrical systems for Google's data centers, consumer devices, and infrastructure projects. Engineers work on power distribution, circuit design, signal processing, and hardware reliability to support high-performance computing and scalable technology solutions. They collaborate with cross-functional teams to innovate and improve energy efficiency, performance, and sustainability in Google's hardware products and systems.

What does a typical day look like for an electrical engineer at Google?

A typical day for an Electrical Engineer at Google involves collaborating with cross-functional teams to design, prototype, and validate hardware components for products ranging from data center infrastructure to consumer electronics. You'll frequently participate in design reviews, run diagnostic tests on hardware prototypes, and troubleshoot complex issues alongside software engineers, mechanical engineers, and product managers. The work environment emphasizes innovation, rapid iteration, and collaboration, allowing you to contribute directly to high-impact projects. Google also encourages ongoing learning and skill development, providing many opportunities for career growth within technical or leadership tracks.

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

To thrive as a Google Electrical Engineer, you need a solid background in electrical engineering principles, circuit design, and problem-solving, typically supported by a relevant engineering degree. Expertise with CAD tools, PCB design software, signal testing equipment, and familiarity with industry certifications such as PE or IEEE membership is valuable. Effective teamwork, innovative thinking, and strong communication skills make you stand out in this position. These skills ensure the ability to develop advanced hardware solutions, collaborate seamlessly across multidisciplinary teams, and drive cutting-edge technological projects at Google.

Does Google hire electrical engineers?

Google hires electrical engineers for roles involving hardware design, embedded systems, and signal processing. Candidates typically need a strong background in electrical engineering principles, experience with relevant tools and programming languages, and often a bachelor's or higher degree in electrical engineering or related fields.

What are popular job titles related to Google Electrical Engineering jobs in Virginia?

For Google Electrical Engineering jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Google Electrical Engineering jobs in Virginia look for?

The top searched job categories for Google Electrical Engineering jobs in Virginia are:

Google Electrical Engineering jobs near you
Infographic showing various Google Electrical Engineering job openings in Virginia as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Senior Data Scientist / Machine Learning Engineer

Waypoint Human Capital

Mclean, VA

Full-time

Posted 18 days ago

Job description

Position Title: Senior Data Scientist / Machine Learning Engineer
Position Type: Full-Time, On-Site
Position Location: Tysons, VA
Clearance Required: Active TS/SCI with CI Polygraph or Full Scope Polygraph
Waypoint's client is seeking a dynamic Senior Data Scientist / Machine Learning Engineer with an active TS/SCI CI Poly or higher to join their team. The Senior Data Scientist / Machine Learning Engineer will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide federal customers with the information they need to make proper decisions and enable their digital transformation.
This position works directly with data scientists, software engineers, and subject matter experts to research, design, and deploy machine learning algorithms that support federal customers in digital transformation and data-driven decision making. They will contribute to new analytics capabilities and assist customers in building their own applications. This position requires a bachelor's degree in Computer Science, Electrical Engineering, Statistics, or a related field, 5 to 10 years of relevant experience, and strong Python and applied ML skills. An active TS/SCI with CI Polygraph or Full Scope Polygraph is required.
Responsibilities
The responsibilities include, but are not limited to:
  • Research, design, implement, and deploy Machine Learning algorithms for enterprise applications.
  • Assist and enable federal customers to build their own applications.
  • Contribute to the design and implementation of new features.

Required
  • Active Top Secret clearance with CI Polygraph or Full Scope Polygraph.
  • Bachelor's degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields required.
  • MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields preferred.
  • Minimum 5–10 years relevant work experience preferred.
  • Excellent programming skills in Python.
  • Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning).
  • Strong mathematical background (linear algebra, calculus, probability, and statistics).
  • Experience with scalable Machine Learning (MapReduce, streaming).
  • Ability to drive a project and work both independently and in a team.
  • Smart, motivated, can-do attitude, and seeks to make a difference.
  • Excellent verbal and written communication skills.
  • Passion for developing team-oriented solutions to complex engineering problems.
  • Thrive in an autonomous, empowering, and exciting environment.
  • Ability to collaborate across multiple functional teams to improve scalability.
  • Ability to convey highly technical concepts and information in written form to both technical and non-technical audiences.
  • Ability to work on multiple concurrent projects.
  • Strong self-motivation and the ability to work with minimal supervision.
  • Team-oriented, energetic, results- and delivery-focused, with a strong commitment to quality and meeting deadlines.
  • Ability to work in an Agile environment.

Desired
  • Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
  • Proficient in leveraging modern LLM tools to accelerate development workflows and enhance code quality.
  • Experience with deep learning.
  • Experience with natural language processing (NLP).
  • Experience with computer vision.
  • Experience with reinforcement learning.