2

Quantum Computing Engineer Remote Jobs in Virginia

Remote within the United States Terms: Full-time Clearance: U.S. Citizenship required and ability ... Computing/Government Community Cloud), designed to meet the compliance and security needs of ...

AI Data Engineer

Fort Belvoir, VA · Remote

$129K - $155K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an AI Data ... Experience with Apache Spark or other distributed computing platforms. * Palantir Foundry ...

Data Engineer (Databricks) - Remote USA

Reston, VA · Remote

$119K - $143K/yr

Deep experience with distributed computing using Apache Spark * Knowledge of Spark runtime ... Advanced proficiency in data engineering and analytics using Python, Expert-level SQL skills for ...

None Potential for Remote Work: ORA_ON_SITE Description Position Description The successful ... Experience developing and implementing strategic technology initiatives (e.g., Photonics, Quantum ...

None Potential for Remote Work: ORA_ON_SITE Description Position Description The successful ... Experience developing and implementing strategic technology initiatives (e.g., Photonics, Quantum ...

The Software Developer will lead the design, development, testing, and deployment of advanced ... Experience with cloud computing platforms (AWS, Azure) and containerization technologies (Docker ...

The Software Developer will lead the design, development, testing, and deployment of advanced ... Experience with cloud computing platforms (AWS, Azure) and containerization technologies (Docker ...

Data Engineer III

Mclean, VA · Remote

$115K - $139K/yr

Data Engineer III Job number: 820 This is a remote position. Ad Hoc is a technology company that ... ETL process, and distributed computing 3. Bachelor's degree in Computer Science, Computer ...

Senior Software Engineer (Python) - Remote

Reston, VA · Remote

$126K - $170K/yr

The Team Our Health Engineering Solutions (HES) team works side by side with customers to ... computing, and publicly reporting outcomes-based hospital quality measure data. This contract ...

next page

Showing results 1-20

Quantum Computing Engineer Remote information

What are the key skills and qualifications needed to thrive as a Quantum Computing Engineer (Remote), and why are they important?

A Quantum Computing Engineer requires strong knowledge in quantum mechanics, computer science, and mathematics, often supported by a degree in physics, engineering, or a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), cloud-based quantum platforms, and proficiency in Python are typically necessary, and certifications in quantum computing can be advantageous. Excellent problem-solving skills, self-motivation, and effective remote communication are essential soft skills for success in a distributed team environment. These competencies enable engineers to develop innovative quantum algorithms, collaborate efficiently, and drive advancements in this rapidly evolving field.

What is the difference between Quantum Computing Engineer Remote vs Quantum Software Developer?

AspectQuantum Computing Engineer RemoteQuantum Software Developer
Required CredentialsBachelor's or Master's in Physics, Computer Science, or related field; knowledge of quantum algorithmsBachelor's or Master's in Computer Science or related; programming skills in quantum languages
Work EnvironmentRemote, often collaborative with research teams or tech companiesRemote or on-site, focused on developing and testing quantum software
Employer & Industry UsageTech companies, research labs, startups in quantum techSoftware firms, tech companies, research institutions

While both roles involve quantum computing, Quantum Computing Engineers Remote focus on designing and developing quantum hardware and algorithms, whereas Quantum Software Developers primarily create software applications and simulations. Both roles often require similar educational backgrounds and can be performed remotely, but their core responsibilities differ in hardware versus software development within the quantum industry.

What are the typical collaboration dynamics for a remote Quantum Computing Engineer, and how do teams coordinate on complex projects?

As a remote Quantum Computing Engineer, you’ll typically work as part of a multidisciplinary team that may include physicists, software developers, and hardware engineers. Collaboration often relies on version control systems, virtual meetings, and shared documentation platforms to coordinate complex research and development tasks. Regular syncs, code reviews, and agile methodologies are commonly used to ensure everyone stays aligned despite geographic distances. Effective communication and a proactive approach to problem-solving are key, as much of the work involves iterative testing and collective troubleshooting. This structure allows for both deep individual focus and consistent team progress on groundbreaking projects.

What does a Quantum Computing Engineer do when working remotely?

A Quantum Computing Engineer working remotely designs, develops, and tests algorithms and software that leverage quantum computers, often collaborating with teams using virtual tools. They may focus on quantum programming, error correction, or integrating quantum solutions with classical systems. Remote engineers access quantum hardware through cloud-based platforms, participate in research, and stay current with advancements in quantum technology. Effective communication and self-management skills are essential for success in this remote role.
What are the most commonly searched types of Quantum Computing Engineer jobs in Virginia? The most popular types of Quantum Computing Engineer jobs in Virginia are:
What are popular job titles related to Quantum Computing Engineer Remote jobs in Virginia? For Quantum Computing Engineer Remote jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Quantum Computing Engineer Remote jobs in Virginia look for? The top searched job categories for Quantum Computing Engineer Remote jobs in Virginia are:
What cities in Virginia are hiring for Quantum Computing Engineer Remote jobs? Cities in Virginia with the most Quantum Computing Engineer Remote job openings:
Low Code AI Engineer

Low Code AI Engineer

RIVA Solutions

Reston, VA • Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Job description

Description
Title: Low Code AI Engineer
Location: Remote within the United States
Terms: Full-time
Clearance: U.S. Citizenship required and ability to obtain and maintain a Federal Public
Trust investigation
Travel: 0-10%
RESULTS. INNOVATION. VALUES. ACCOUNTABILITY.
That's RIVA. Our employee-first approach has manifested a culture that attracts the best
and brightest. By investing in people first and providing a flexible work environment, our
employees have higher morale, higher productivity rates, and lower turnover. At RIVA,
people are our #1 priority.
Program Overview
RIVA Solutions supports the U.S. Department of Commerce (DOC), International Trade
Administration (ITA), in establishing and operating an AI Center of Excellence (AI-CoE)
under the Office of the Chief Information Officer (OCIO). This program advances IT
modernization by designing, developing, deploying, and maintaining artificial intelligence
and machine learning solutions that strengthen mission outcomes across the Commerce
enterprise.
The AI-CoE provides AI application development, model lifecycle management, data
engineering, security support, quality assurance, and Agile delivery services that enable
DOC to mature toward higher levels of operational and technological excellence. RIVA's
work ensures that AI tools and systems are reliable, scalable, secure, and aligned with
federal cloud and data strategies.
Position Overview
RIVA Solutions is seeking a Low Code AI Engineer to support the delivery and
operationalization of AI-enabled solutions using low-code platforms-primarily Microsoft
Power Platform and Copilot Studio-within the AI Center of Excellence. This role focuses
on enabling, deploying, integrating, and monitoring AI experiences in Microsoft's
specialized government cloud environment (Government Cloud Computing/Government
Community Cloud), designed to meet the compliance and security needs of Federal, State,
Local, and Tribal governments. Emphasis is placed on configuration-first development,
CI/CD, data/content ingestion pipelines, and ongoing operations to ensure reliable
production performance.
This position partners closely with technical teams and federal stakeholders to implement
scalable low-code solutions, establish repeatable delivery patterns, and support the
knowledge/content lifecycle that powers AI experiences (e.g., ingestion, validation, refresh,
governance, and monitoring). Traditional, heavy machine learning model development is
not a primary expectation for this role, though limited support may be required as future
mission use cases evolve.
U.S. Citizenship is required, along with the ability to obtain and maintain a federal Public
Trust investigation. This position is fully remote within the United States.
Core Responsibilities


Enable and deliver low-code AI solutions using Microsoft Power Platform and
Copilot Studio to support enterprise mission needs.
Configure, integrate, and operationalize AI experiences, including connectors,
workflows, approvals, and automation patterns that support secure enterprise
adoption.

Support cloud delivery within Microsoft's specialized government cloud
environment (Government Cloud Computing/Government Community Cloud),
ensuring solutions align with federal security, compliance, and governance
requirements.


Implement and maintain CI/CD processes for Power Platform/Copilot solutions
(solution packaging, environment promotions, release management, and
deployment automation).
Build and support data/content ingestion pipelines that prepare and maintain
knowledge sources for AI experiences (knowledge lifecycle management,
validation, refresh schedules, and quality checks).


Deploy, monitor, and optimize low-code AI solutions in production, including
telemetry, alerting, performance monitoring, and incident response support.
Partner with Data Engineers and platform teams to ensure content and data are
structured, accessible, and maintained for AI-enabled experiences (without
requiring heavy feature engineering or predictive modeling).
Use Python or lightweight scripting only as needed for function calls, integration
edge cases, automation gaps, or specialized operational support.




Document platform configurations, release procedures, operational runbooks,
integration patterns, and technical implementation details.
Collaborate with AI Developers, Data Engineers, Scrum Masters, and federal
stakeholders in Agile/Scrum environments.
Stay informed on emerging low-code AI capabilities (Power Platform, Copilot Studio,
governance, and federal cloud guidance) to improve solution quality and
maintainability.
Minimum Qualifications


Bachelor's degree or equivalent professional experience.
Minimum 2 years of experience delivering low-code solutions, platform
enablement, automation, or related engineering work (Power Platform/Copilot
Studio strongly preferred).


Experience configuring, deploying, and supporting solutions across multiple
environments (dev/test/prod), including release and change management practices.
Experience with CI/CD concepts and implementation for low-code or platform-
based solutions (packaging, deployments, environment strategy, and operational
monitoring).

Experience supporting data/content ingestion, integration, or lifecycle processes
that enable AI experiences (knowledge management, data preparation workflows, or
content operations).



Strong analytical and problem-solving skills with a delivery-and-operations mindset.
U.S. Citizenship required.
Ability to obtain and maintain a Federal Public Trust investigation.
Preferred Qualifications




Experience supporting federal government or public-sector technology programs,
including regulated cloud environments.
Hands-on experience with Microsoft Power Platform administration and governance
(DLP policies, environment strategy, ALM practices, Center of Excellence patterns).
Experience with Copilot Studio (bot/agent configuration, integrations/connectors,
publishing, telemetry/monitoring).
Exposure to lightweight scripting (e.g., Python) for integrations, function calling, or
operational edge needs.



Experience with monitoring/observability practices (logging, metrics, alerting,
dashboards) and operational support for production services.
Familiarity with cloud-native services and secure delivery practices within Azure
ecosystems.
Certifications in Power Platform, cloud engineering, or related fields are a plus.
Salary
$120K
RIVA Benefits










Paid Time Off / Sick Leave
Health, Dental, and Vision Coverage
Life Insurance
Retirement Benefits / 401K with company matching
HSA/FSA Spending Accounts
Long- and Short-term Disability
Pet Insurance
Wellness Program Initiatives
RIVA Flex
Additional Workplace Benefits
Equal Opportunity Statement
RIVA Solutions is an Equal Opportunity/Affirmative Action employer. All qualified
applicants will receive consideration for employment without regard to race, color, religion,
sex, sexual orientation, gender identity, national origin, disability, veteran status, or any
protected class. If you need a reasonable accommodation to search for a job opening or to
submit an online application, please email [email protected]. Only
messages left for this purpose will be returned.