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Remote Google Software Engineer Jobs in Reston, VA

Whitespace

Remote / Alexandria, VA Clearance: Active TS/SCI or eligibility to be cleared GeoDelphi, Inc. dba ... Experience with AWS, Azure, or Google Cloud. * Experience building geospatial web applications and ...

Whitespace

Software Engineer

Alexandria, VA · Remote

Remote / Alexandria, VA Clearance: Active TS/SCI or eligibility to be cleared GeoDelphi, Inc. dba ... Experience with AWS, Azure, or Google Cloud. * Experience building geospatial web applications and ...

Whitespace

Software Engineer-AFRL

Alexandria, VA · Remote

$125K - $165K/yr

Remote / Alexandria, VA Clearance: Active TS/SCI or eligibility to be cleared Are you ready to be ... Experience with public clouds such as AWS, Google, Azure * Strong data visualization skills ...

Whitespace

Software Engineer-AFRL

Alexandria, VA · On-site +1

$131K - $172K/yr

Remote / Alexandria, VA Clearance: Active TS/SCI or eligibility to be cleared Are you ready to be ... Experience with public clouds such as AWS, Google, Azure * Strong data visualization skills ...

YO AI Labs

Senior Software Engineer - Remote

Washington, DC · Remote

$138K - $182K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn ...

Mondo

Software Engineer

Centreville, VA · Remote

$100/hr

Apply now: Software Engineer, location is Remote. The start date is July 27 for this contract-to-hire position. Job Title: Software Engineer Location-Type: Remote (U.S.) Start Date Is: July 27 ...

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Remote Google Software Engineer information

See Reston, VA salary details

$66.1K

$153.5K

$213.8K

How much do remote google software engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote google software engineer in Reston, VA is $153,477.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,800.00 and $180,000.00 per year, depending on experience, location, and employer.

What is a remote Google software engineer?

Remote Google Software Engineers are software development professionals employed by Google who work from locations outside of traditional Google office spaces. They use technology to collaborate with colleagues, design and implement software solutions, and contribute to Google's products and services. Remote engineers typically participate in virtual meetings, code reviews, and agile development processes using cloud-based tools. This role allows for flexibility in work location while maintaining high standards of productivity and collaboration.

What skills and qualifications are needed to thrive as a remote Google software engineer?

To thrive as a Remote Google Software Engineer, you need strong programming skills (typically in languages like Python, Java, or C++), a solid grasp of computer science fundamentals, and a relevant degree or equivalent experience. Familiarity with version control systems like Git, cloud platforms such as Google Cloud, and internal tools or APIs is highly beneficial, as is experience with distributed systems. Excellent communication, self-motivation, and collaboration skills are crucial for remote teamwork and problem-solving. These abilities enable engineers to deliver high-quality, scalable solutions efficiently while remaining aligned and productive in a distributed work environment.

How does a remote Google software engineer stay connected and collaborate effectively with their team?

As a Remote Google Software Engineer, maintaining strong communication is key to successful collaboration. Engineers use a variety of tools such as Google Meet, Chat, and shared documents to coordinate with teammates across different time zones. Regular stand-up meetings, code reviews, and pair programming sessions help ensure alignment and foster teamwork. Google also encourages participation in virtual team-building activities and provides resources to help remote employees feel integrated and supported.

What is the difference between Remote Google Software Engineer vs Remote Amazon Software Engineer?

AspectRemote Google Software EngineerRemote Amazon Software Engineer
Required CredentialsBachelor's/Master's in CS or related field, strong coding skillsBachelor's/Master's in CS or related field, strong coding skills
Work EnvironmentCollaborative, innovative, often flexible hours, remote-friendlyFast-paced, customer-centric, remote or hybrid options
Employer & Industry UsageGoogle, tech, internet servicesAmazon, e-commerce, cloud computing
Common Search & ComparisonYesYes

Both Remote Google Software Engineers and Remote Amazon Software Engineers require similar technical credentials and work in remote, tech-driven environments. While Google emphasizes innovation and research, Amazon focuses on customer satisfaction and operational efficiency. Candidates often compare these roles to find the best fit based on industry, company culture, and career goals.

What are popular job titles related to Remote Google Software Engineer jobs in Reston, VA?

For Remote Google Software Engineer jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Remote Google Software Engineer jobs in Reston, VA look for?

The top searched job categories for Remote Google Software Engineer jobs in Reston, VA are:

What cities near Reston, VA are hiring for Remote Google Software Engineer jobs?

Cities near Reston, VA with the most Remote Google Software Engineer job openings:

Remote Google Software Engineer jobs near you

AI Software Engineer (Remote)

Vienna, VA • Remote

Knexus Research Corporation
Scientific Research and Development Services • 11 - 50 employees
Learn more about Knexus Research Corporationexternal

Full-time

Re-posted 27 days ago

Job description

We're looking for an experienced AI Software Engineer with 6-8 years of experience to join our AI applications team. This is a fully remote position for candidates in the continental U.S., with work hours aligned to the Eastern Standard Time (EST) zone. You will be instrumental in the entire software development lifecycle, from initial design to final delivery, creating AI-powered software products that aid military commanders and business leaders in making mission-critical decisions. The ideal candidate will have exceptional algorithmic and problem-solving skills, and a strong background in software engineering, enabling them to make an immediate impact on our projects. We are committed to providing you with the necessary tools and training to produce world-class software.

Responsibilities

  • Collaborative Design & Implementation: You will collaboratively design, implement, and test AI enabled software systems. This role involves leveraging cutting-edge technologies, including GenAI and machine learning models.
  • Modular Systems Development: Develop modular systems within a distributed architecture, such as with RESTful containerized microservices.
  • Performance Optimization: Review and analyze software runtime performance, making algorithmic and performance improvements.
  • Agile Development: Use agile development techniques throughout the project lifecycle.

Qualifications and Experience

  • Experience: 6-8 years of experience in software development, including design, coding, testing, and delivery.
  • Core Skills: You should have mastery in object-oriented design and programming, as well as knowledge of design patterns and algorithmic analysis.
  • Programming Languages: Proficiency in Python is a must, experience with other languages such as JavaScript, TypeScript, or C++ is useful but not critical.
  • GenAI: Experience building applications leveraging LLMs as a core component
  • Work Environment: Experience working in a small, remote team environment is preferred.
  • Government Clearance: You must be a U.S. citizen and eligible for a government security clearance (Secret Clearance).

Bonus Experience

  • AI/ML: Exposure to AI and/or Machine Learning technologies is a plus.
  • Specialized Knowledge: Experience with discrete event simulation, geospatial and/or temporal databases, and performing scientific evaluations and comparisons is highly valued.
  • Google Cloud Platform: Experience using and deploying technologies onto GCP, existing GCP credentials, and familiarity with VertexAI.
  • Technical Familiarity: Familiarity with technologies such as Docker, Node, and REST APIs is a bonus. Experience with database systems such as Firebase and PostgreSQL.

About Knexus

At Knexus Research, we are at the forefront of AI development for the government, with a mission to revolutionize how government serves its citizens. As a pioneer in the field, we've spent nearly two decades pushing the boundaries of what is possible with artificial intelligence. Our work has a direct, mission-driven impact, and we believe that our innovative ideas help us stay ahead of the curve. Our partnership with Google Cloud gives our team unparalleled access to the latest tools and expertise.

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