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Quantum Computing Research Remote Jobs in Virginia

ICF

Senior Software Engineer (Python) - Remote

Reston, VA · Remote

$126K - $170K/yr

... computing, and publicly reporting outcomes-based hospital quality measure data. This contract ... designers and researchers, infrastructure engineers, product owners, and stakeholders.

Leidos

Hyperspectral Image Scientist

Springfield, VA · On-site +1

$92K - $166K/yr

... research environments. * Strong knowledge of spectral phenomenology, imaging spectroscopy, and remote sensing principles. * Experience with image processing and scientific analysis tools such as ...

Virginia Tech

Software Architect

Blacksburg, VA · On-site +1

Blacksburg, Virginia, Fully Remote, Hybrid Categories: Information Systems / Technology Network ... performance computing and communication networks that power our university. Our Software ...

Level Up Llc

Data Scientist

Reston, VA · On-site +1

Operations Research * Quantitative Finance * Statistics * Experience analyzing real world data ... Experience working with cloud computing platforms such as AWS * Experience with performance scaling ...

AVIAN, LLC

Data Scientist

Reston, VA · On-site +1

Operations Research * Quantitative Finance * Statistics * Experience analyzing real world data ... Experience working with cloud computing platforms such as AWS * Experience with performance scaling ...

NT Concepts

Data Scientist

Herndon, VA · On-site +1

Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ... Incorporate research and development outputs into the operational code base * Communicate analytic ...

Level Up Llc

Data Engineer

Reston, VA · On-site +1

$119K - $143K/yr

... all-source research and analysis. Our technical capabilities directly bolster our customers ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

AVIAN, LLC

Data Engineer

Reston, VA · On-site +1

$119K - $143K/yr

... all-source research and analysis. Our technical capabilities directly bolster our customers ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

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All JobsQuantum Computing Research Remote JobsQuantum Computing Research Remote Jobs in Virginia

Quantum Computing Research Remote information

What are Quantum Computing Research Remote jobs?

Quantum Computing Research Remote jobs involve conducting research and development in quantum computing while working from a remote location, rather than in a traditional office or laboratory. Professionals in these roles explore quantum algorithms, hardware, and software, and may collaborate with teams virtually across the globe. They often contribute to advancing quantum technologies, publish research findings, and develop new applications in areas like cryptography, optimization, and machine learning. These positions typically require a strong background in physics, computer science, or related fields, and proficiency in programming languages commonly used in quantum computing.

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

To excel as a Quantum Computing Researcher (Remote), you typically need an advanced degree in physics, computer science, or a related field, with a deep understanding of quantum mechanics and algorithms. Familiarity with quantum programming languages (like Qiskit or Cirq), simulation tools, and experience with cloud-based quantum platforms are highly valuable. Strong problem-solving skills, self-motivation, and effective virtual communication are crucial soft skills for remote research collaboration. These competencies enable researchers to drive innovation, overcome complex challenges, and effectively contribute to global teams in a rapidly evolving field.

What is the difference between Quantum Computing Research Remote vs Quantum Algorithm Developer?

AspectQuantum Computing Research RemoteQuantum Algorithm Developer
Required CredentialsAdvanced degrees in physics, computer science, or related fieldsSimilar advanced degrees, often with programming certifications
Work EnvironmentRemote research teams, academic or corporate labsRemote or on-site, focused on algorithm development and implementation
Employer & Industry UsageResearch institutions, tech companies, academiaTech firms, startups, research labs
Search & Comparison IntentUnderstanding remote research roles in quantum computingDeveloping and optimizing quantum algorithms remotely

Quantum Computing Research Remote involves conducting research in quantum computing from a remote location, often focusing on theoretical and experimental studies. Quantum Algorithm Developer, while similar, emphasizes creating and refining algorithms for quantum computers, which may also be done remotely. Both roles require advanced degrees and are prevalent in research and tech industries, but their core focus differs: research vs algorithm development.

What are some typical challenges faced by remote quantum computing researchers, and how can these be addressed?

Remote quantum computing researchers often encounter challenges such as limited access to specialized hardware, the need for robust collaboration tools, and staying current with rapid advancements in the field. Many institutions address these by providing access to cloud-based quantum processors and fostering strong virtual communication channels within research teams. Building a routine for regular knowledge sharing, attending virtual conferences, and collaborating through code repositories can help remote researchers stay connected and productive.
What are the most commonly searched types of Quantum Computing Research jobs in Virginia? The most popular types of Quantum Computing Research jobs in Virginia are:
What are popular job titles related to Quantum Computing Research Remote jobs in Virginia? For Quantum Computing Research Remote jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Quantum Computing Research Remote jobs in Virginia look for? The top searched job categories for Quantum Computing Research Remote jobs in Virginia are:
What cities in Virginia are hiring for Quantum Computing Research Remote jobs? Cities in Virginia with the most Quantum Computing Research Remote job openings:
Quantum Computing Research Remote jobs near you
Infographic showing various Quantum Computing Research Remote job openings in Virginia as of June 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 48% Physical, 3% Hybrid, and 49% Remote job distribution.
Principal Scientist - AI/ML Specialization - WFH1651

Principal Scientist - AI/ML Specialization - WFH1651

Global InfoTek, Inc.

Reston, VA • On-site, Remote

Full-time

Posted 11 days ago

Job description

Clearance Level:
US Citizenship: Required
Job Classification: Full Time
Location: Remote
Years of Experience: 10+ years of relevant experience
Education Level: Advanced degree (MS or PhD) in Electrical Engineering, Computer Science, Applied Mathematics, or a closely related quantitative field. Experience may be considered in place of education requirement.
Briefly Describe the Work:
GITI is seeking a Principal Scientist to serve as the senior technical authority on an R&D program focused on passive RF emitter identification and network analysis from real-time sensor data streams. The Principal Scientist leads independent, hands-on analysis of NDF (Network Description File) sensor datasets, provides technical direction across parallel research threads, and serves as the primary technical advisor to the government sponsor. The role spans the full research lifecycle: formulating hypotheses, writing and executing analytical code in Python and Jupyter notebooks, interpreting and validating results, and communicating findings to both technical peers and non-specialist stakeholders. This is a deeply technical, hands-on position - the Principal Scientist conducts analysis directly and does not delegate technical work as a substitute for personal proficiency. The candidate will work within a small, distributed team operating in air-gapped Linux environments on resource-constrained tactical edge hardware, with no cloud computing.
Responsibilities:
  • Conduct independent, hands-on data analysis on RF sensor datasets using Python and Jupyter notebooks - formulating hypotheses, writing and running analytical code, interpreting results, and producing findings that directly advance program research objectives
  • Provide technical advice and research direction across a multidisciplinary team; define analytical objectives, review and validate technical outputs from AI/ML engineers and software developers, and ensure coherence across parallel research threads
  • Serve as primary technical advisor to the government sponsor: translate operational requirements into research objectives, communicate findings clearly to non-specialist stakeholders, and maintain program alignment with sponsor priorities through written reports and technical presentations
  • Design and execute analytical investigations into RF sensor data quality, emitter behavior, and attribution reliability - including characterizing error sources, identifying systematic artifacts, and developing methods to distinguish real physical signatures from sensor or processing artifacts
  • Produce technical documentation - working notes, research findings, monthly status reports, and briefing materials - that accurately represent the scope and confidence level of analytical results

Expert-level career professional recognized as a technical authority in RF systems, signals intelligence, or a closely related applied domain. Exercises broad independent judgment in defining research approach, evaluating methods, and interpreting results. Operates with minimal supervision; accountable for the scientific integrity and practical relevance of program research outputs. Advanced degree (MS or PhD) with 10+ years of hands-on applied R&D experience.
Required Skills:
  • 10+ years of hands-on applied R&D experience in RF systems, signals intelligence, electronic warfare, or related domains.
  • Proven ability to quickly acquire domain knowledge; specifically in the areas of wireless digital communications and military techniques, tactics, and procedures
  • Demonstrated ability to independently develop and execute data analyses in Python or equivalent tools on real sensor datasets; must be capable of writing production-quality analytical code, not merely directing others to do so
  • Experience addressing common problems with large quantities of real-world data, such as imputation, noise, bias, and errors
  • Track record of working effectively on constrained-hardware edge systems - no cloud, no discrete GPU - with attention to computational efficiency and multi-core, multi-thread performance on x86 platforms

Desired Skills:
  • Deep familiarity with RF signal characteristics, sensor phenomenology, and the interpretation of passive receiver data - including recognition of processing artifacts, attribution ambiguities, and the limits of sensor-derived measurements
  • Hands-on experience applying machine learning - particularly metric learning, deep learning networks, or similarity-learning architectures - to RF or time-series signal data, including feature engineering, training pipeline development, and model validation
  • Familiarity with TDMA network protocols, emitter identification techniques (CID/PID), and the signal processing challenges of dense, contested electromagnetic environments
  • Experience with interferometric direction-finding, TDOA geolocation, or related passive geolocation methods, including practical knowledge of their failure modes and accuracy limitations
  • Experience with binary serialization formats (FlatBuffers, Protocol Buffers) and high-throughput sensor data pipelines operating in near-real-time on resource-constrained hardware
  • Background in statistical signal processing - error ellipses, bearing estimation uncertainty, feature reliability under noise - with the ability to distinguish statistically significant findings from artifacts of small sample size or improper normalization

Relevant Certifications:
  • Professional certifications in data science, signal processing, or related technical fields. Advanced academic credentials (PhD, MS) in a relevant quantitative discipline are strongly preferred and may substitute for certifications.

Global InfoTek, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
About Global InfoTek, Inc. Global InfoTek Inc. has an award-winning track record of designing, developing, and deploying best-of-breed technologies that address the nation's pressing cyber and advanced technology needs. GITI has rapidly merged pioneering technologies, operational effectiveness, and best business practices for over two decades.

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