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Remote Intelligent Systems Engineering Jobs in Virginia

None Potential for Remote Work: ORA_ON_SITE Description  SAIC is seeking a highly motivated and experienced Communications Systems Engineering and Technical Assistance (SETA) professional in ...

Expert Level Systems Engineer

Springfield, VA · On-site +1

$146K - $234K/yr

In this role, you will help guide multidisciplinary engineering teams through the full systems ... Remote sensing * Image science * GIS / geomatics * Active participation in professional ...

Expert Level Systems Engineer

Springfield, VA · On-site +1

$146K - $234K/yr

In this role, you will help guide multidisciplinary engineering teams through the full systems ... Remote sensing * Image science * GIS / geomatics * Active participation in professional ...

Expert Level Systems Engineer

Chantilly, VA · On-site +1

$146K - $234K/yr

In this role, you will help guide multidisciplinary engineering teams through the full systems ... Remote sensing * Image science * GIS / geomatics * Active participation in professional ...

Expert Level Systems Engineer

Chantilly, VA · On-site +1

$146K - $234K/yr

In this role, you will help guide multidisciplinary engineering teams through the full systems ... Remote sensing * Image science * GIS / geomatics * Active participation in professional ...

Mid-Level Systems Engineer

Chantilly, VA · On-site +1

$104K - $166K/yr

INCOSE Associate Systems Engineering Professional (ASEP) certification. * Experience supporting geospatial intelligence (GEOINT) mission environments. * Knowledge of photogrammetry, remote sensing ...

Mid-Level Systems Engineer

Springfield, VA · On-site +1

$104K - $166K/yr

INCOSE Associate Systems Engineering Professional (ASEP) certification. * Experience supporting geospatial intelligence (GEOINT) mission environments. * Knowledge of photogrammetry, remote sensing ...

Mid-Level Systems Engineer

Chantilly, VA · On-site +1

$104K - $166K/yr

INCOSE Associate Systems Engineering Professional (ASEP) certification. * Experience supporting geospatial intelligence (GEOINT) mission environments. * Knowledge of photogrammetry, remote sensing ...

Mid-Level Systems Engineer

Springfield, VA · On-site +1

$104K - $166K/yr

INCOSE Associate Systems Engineering Professional (ASEP) certification. * Experience supporting geospatial intelligence (GEOINT) mission environments. * Knowledge of photogrammetry, remote sensing ...

... remote and high-dependency aviation environments. These efforts focus on delivering mission ... Coordinate with software engineering, test, cybersecurity, and DevSecOps teams to ensure system ...

Ground Systems Engineer

Chantilly, VA · On-site +1

$160K - $200K/yr

Engineering and Sciences Subcategory: Systems Engineer Schedule: Full-Time Shift: Day Job Travel ... None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Ground Systems Engineer ...

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Remote Intelligent Systems Engineering information

What is the difference between Remote Intelligent Systems Engineering vs Remote Robotics Engineering?

AspectRemote Intelligent Systems EngineeringRemote Robotics Engineering
Required CredentialsBachelor's/Master's in Engineering, Computer Science, or related fields; knowledge of AI, machine learning, and systems integrationBachelor's/Master's in Mechanical, Electrical, or Robotics Engineering; knowledge of control systems, sensors, and automation
Work EnvironmentPrimarily software-focused, designing and developing intelligent systems remotelyCombination of software and hardware tasks, often involving remote collaboration on robotic systems
Industry UsageUsed across AI, automation, and software development companiesCommon in manufacturing, automation, and research institutions

Remote Intelligent Systems Engineering focuses on designing and developing software-driven intelligent systems, while Remote Robotics Engineering emphasizes both hardware and software aspects of robotic systems. Both roles require technical expertise and are prevalent in tech and industrial sectors, but they differ mainly in their focus on software versus hardware components.

What are the key skills and qualifications needed to thrive as a Remote Intelligent Systems Engineer, and why are they important?

To thrive as a Remote Intelligent Systems Engineer, you need a strong background in systems engineering, programming (such as Python, C++, or Java), and AI/machine learning principles, often supported by a relevant degree in engineering or computer science. Familiarity with tools like MATLAB, TensorFlow, ROS (Robot Operating System), and cloud-based platforms is typically required, along with certifications in AI or systems engineering. Strong problem-solving abilities, communication skills, and self-motivation are essential soft skills for remote collaboration and project success. These qualifications and skills are crucial for designing, implementing, and maintaining complex intelligent systems while effectively collaborating with distributed teams.

What are some common challenges faced by professionals in Remote Intelligent Systems Engineering, and how can they be addressed?

Professionals in Remote Intelligent Systems Engineering often encounter challenges such as coordinating with distributed teams across different time zones, ensuring secure and reliable remote system operations, and maintaining effective communication during troubleshooting or system updates. To address these issues, engineers typically rely on robust collaboration tools, establish clear communication protocols, and schedule regular virtual meetings. Additionally, staying updated on best practices for cybersecurity and remote monitoring helps ensure smooth operation and rapid response to potential issues.

What is Remote Intelligent Systems Engineering?

Remote Intelligent Systems Engineering refers to the design, development, and maintenance of intelligent systems—such as AI-driven automation, robotics, or smart devices—while working from a remote location. Professionals in this field use advanced technologies to create systems that can perceive, learn, and make decisions, often collaborating with team members and clients virtually. This role typically requires expertise in artificial intelligence, machine learning, software engineering, and remote collaboration tools. The flexibility of remote work allows engineers to contribute to complex projects from anywhere, making it a popular choice in today's global tech industry.
What are the most commonly searched types of Intelligent Systems Engineering jobs in Virginia? The most popular types of Intelligent Systems Engineering jobs in Virginia are:
What are popular job titles related to Remote Intelligent Systems Engineering jobs in Virginia? For Remote Intelligent Systems Engineering jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Intelligent Systems Engineering jobs in Virginia look for? The top searched job categories for Remote Intelligent Systems Engineering jobs in Virginia are:
What cities in Virginia are hiring for Remote Intelligent Systems Engineering jobs? Cities in Virginia with the most Remote Intelligent Systems Engineering job openings:

Systems Engineer - Expert-Level

Mission Intel

Springfield, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Job description

Systems Engineer (ExpertLevel)

Mission Intelligence Group is seeking an ExpertLevel Systems Engineer to provide senior technical leadership across complex GEOINT systemsofsystems. This role supports missioncritical capabilities spanning the National System of GeospatialIntelligence (NSG), Allied System of GeospatialIntelligence (ASG), and Federal partners, ensuring delivery of resilient, scalable, and missionaligned solutions.


Your Role

As an ExpertLevel Systems Engineer, you will operate at the enterprise and multiacquisition level, guiding engineering teams through the full systems lifecycle. You will advise government stakeholders, shape technical strategy, and ensure requirements, architecture, and solutions align to mission objectives and evolving technologies.


Key Responsibilities
  • Assist the Government in directing requirements engineering, solutions engineering, integration, test & evaluation, sustainment, and analysis across NSG, ASG, and Federal Agencies
  • Lead planning and requirements and architecture traceability to improve, modernize, or automate existing systems
  • Advise on solution design changes based on requirements analysis and emerging technologies
  • Translate mission and customer needs into system and capability requirements and solutions
  • Support the allocation of requirements to systems architecture components and operational programs
  • Perform and oversee systems integration activities across complex enterprise environments
  • Lead and support Analysis of Alternatives (AoAs), Courses of Action (CoAs), trade studies, and engineering assessments
  • Provide strategic input on technical planning, project management, performance engineering, risk management, and interface design
  • Deliver expert guidance linking vision, strategy, requirements, and capability development
  • Operate across multiple Major Systems Acquisitions spanning organizational, agency, and national boundaries
  • Oversee and coordinate the work of Senior, Mid, and Juniorlevel Systems Engineers

Required Qualifications
  • Bachelor's degree or higher in Systems Engineering or a related STEM field, or equivalent experience:
    • 4 additional years of experience with no degree, or
    • 2 additional years with a nonSTEM degree
  • 18+ years of experience supporting government or industry programs in:
    • DoD / IC Acquisition, Requirements, or PPBES processes
    • Systems engineering of largescale SystemofSystems or SOA environments across cloud, onpremise, or hybrid infrastructures
  • Strong understanding of the systems engineering lifecycle and enterprise architectures
  • Demonstrated knowledge of NSG/ASG and NRO enterprise environments
  • Prior NGA and/or NSG/ASG program or project experience
  • Prior IC or DoD program or project experience
  • Active TS/SCI clearance, with ability to obtain SCI and successfully pass a polygraph

Desired Qualifications
  • Master's degree or higher in Systems Engineering or a related STEM field
  • Working knowledge of ModelBased Systems Engineering (MBSE) processes, tools, and languages
  • Software Development Framework certification
  • INCOSE Expert Systems Engineering Professional (ESEP) certification
  • Professional Engineer (PE) licensure
  • Membership or leadership participation in professional organizations, such as:
    • ACSM
    • ASCE
    • ASPRS
    • OGC
    • SAREM
    • USGIF
  • Extensive experience supporting geospatial intelligence mission environments
  • Experience engineering solutions using:
    • Cloudbased technologies
    • Structured and unstructured Big Data
    • Automation, Augmentation, and Artificial Intelligence technologies
  • Demonstrated expertise in:
    • Photogrammetry
    • Remote sensing
    • Image science
    • Geographic Information Systems (GIS)
    • Geomatics or related fields

Why Mission Intelligence Group

At Mission Intelligence Group, engineers are trusted to focus on mission outcomes, not bureaucracy. You will work alongside experienced GEOINT professionals who value clear communication, disciplined engineering, and systems that work as intended in operational environments.

We offer a competitive salary and a comprehensive benefits package, including:

Medical, Dental, and Vision
401(k)
Life Insurance
Flexible Spending Account
Paid Time Off


Join Our Team

If you are motivated by supporting GEOINT analysts, improving mission systems, and delivering reliable capabilities to the operational community, we invite you to apply.