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Remote Intelligent Systems Engineering Jobs (NOW HIRING)

Conducts requirements engineering, solutions engineering, scheduling, reliability, resiliency ... Working knowledge of photogrammetry, remote sensing, image science, information sciences ...

Conducts requirements engineering, solutions engineering, scheduling, reliability, resiliency ... Working knowledge of photogrammetry, remote sensing, image science, information sciences ...

Conducts requirements engineering, solutions engineering, scheduling, reliability, resiliency ... Working knowledge of photogrammetry, remote sensing, image science, information sciences ...

We need AI Systems Engineering practitioners who can do more than just know their craft - they need ... Fully remote work with flexible hours * A digital office - we use modern tools (Notion, Miro, Slack ...

Expert Level Systems Engineer

Chantilly, VA · On-site +1

$135K - $216K/yr

Support the Government in systems engineering efforts across large-scale GEOINT mission ... Remote sensing * Image science * Geographic Information Systems (GIS) * Geomatics * Information ...

... with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT ... On-site or hybrid work is preferred; however, for highly qualified candidates, a remote arrangement ...

Expert Level Systems Engineer

Chantilly, VA · On-site +1

$135K - $216K/yr

Support the Government in systems engineering efforts across large-scale GEOINT mission ... Remote sensing * Image science * Geographic Information Systems (GIS) * Geomatics * Information ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... We are responsible for designing, validating, and operating the intelligent systems behind ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... We are responsible for designing, validating, and operating the intelligent systems behind ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE: Relativity is a leading legal data intelligence ... We are responsible for designing, validating, and operating the intelligent systems behind ...

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Remote Intelligent Systems Engineering information

See salary details

$53.5K

$127.2K

$167K

How much do remote intelligent systems engineering jobs pay per year?

As of Jun 19, 2026, the average yearly pay for remote intelligent systems engineering in the United States is $127,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $157,000.00 per year, depending on experience, location, and employer.

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 engineers make $300,000 a year?

Senior engineers in specialized fields such as software, systems, or hardware engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High-paying roles often require expertise in areas like artificial intelligence, cybersecurity, or cloud infrastructure, along with relevant certifications and a strong track record of project management.

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.

Can you work remotely as an AI engineer?

Remote work is common for AI engineers, including those specializing in intelligent systems, as many companies offer flexible or fully remote positions. Success in remote roles often requires strong communication skills, proficiency with collaboration tools, and the ability to work independently on complex projects. However, some positions may require occasional on-site visits or specific hardware access.

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 is an intelligent systems engineering salary?

The salary for an intelligent systems engineer typically ranges from $80,000 to $130,000 annually, depending on experience, education, and location. Professionals in this field often have skills in machine learning, robotics, and software development, with higher salaries generally associated with advanced certifications and expertise in AI tools.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or systems engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often includes base salary, bonuses, and stock options, particularly in technology companies or industries with high demand for technical expertise.
More about Remote Intelligent Systems Engineering jobs
What cities are hiring for Remote Intelligent Systems Engineering jobs? Cities with the most Remote Intelligent Systems Engineering job openings:
What are the most commonly searched types of Intelligent Systems Engineering jobs? The most popular types of Intelligent Systems Engineering jobs are:
What states have the most Remote Intelligent Systems Engineering jobs? States with the most job openings for Remote Intelligent Systems Engineering jobs include:
Infographic showing various Remote Intelligent Systems Engineering job openings in the United States as of June 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 100% Remote job distribution, with an average salary of $127,215 per year, or $61.2 per hour.
Systems Engineer (Expert-Level)

Systems Engineer (Expert-Level)

SHINE Systems (SHINE Systems - Technology Integration)

Washington, DC • On-site, Remote

$140K - $155K/yr

Other

Posted 10 days ago


Job description

Systems Engineer (Expert-Level)

SHINE Systems is looking for an Expert-Level Systems Engineer to join our team supporting the National System of Geospatial-intelligence (NSG), Allied System of Geospatial-intelligence (ASG), and Federal Agencies. In this role, you will assist in leading engineering teams using a multi-discipline approach to requirements engineering, solutions engineering, integration, test and evaluation, and analysis to ensure timely and accurate GEOINT delivery.

Note: This position is located in the Washington Metro Area only.

Key Responsibilities

  • Assist the Government in directing requirements engineering, solutions engineering, scheduling, reliability, resiliency, services development, integration, test and evaluation, maintainability, and analysis across the NSG, ASG, and Federal Agencies.
  • Assist with the planning, analysis, and traceability of user requirements, architecture traceability, procedures, and problems to automate or improve existing systems; review cloud service capabilities, workflow, and scheduling limitations.
  • Advise the Government on proposed changes to solution designs based on analysis of requirements and emerging technology.
  • Assist in capturing and translating mission and customer requirements and needs into systems and capability requirements and solutions.
  • Support the analyses and allocation of requirements to systems architecture components and executing programs.
  • Assist the Government in performing systems integration activities.
  • Lead Analysis of Alternatives (AoAs), Courses of Action (CoAs), Trade Studies, and Engineering Assessments.
  • Assist the Government in strategic technical planning, project management, performance engineering, risk management, and interface design.
  • Provide expert advice to the Government relating vision, strategy, plans, needs, requirements, and process and capability developments.
  • Operate at the level of integrating multiple Major Systems Acquisitions across organizational, agency, department, and governmental/national boundaries.
  • Oversee and coordinate the work of Senior-, Mid-, and Junior-level contractor Systems Engineers.

Required Qualifications

  • Bachelor’s degree or higher in Systems Engineering or a related technical or scientific field such as Engineering, Physics, Mathematics, Operations Research, Engineering Management, Computer Science, Information Technology, Management Information Systems, or a related STEM degree program; or equivalent additional experience.
  • 18+ years of experience working in government or industry in relevant areas including DoD/IC Acquisition Process, Requirements Process, PPBES Process, or systems engineering of large, complex System of Systems or Service Oriented Architecture environments in cloud, on-premise, or hybrid infrastructures.
  • Experience with and strong understanding of the systems engineering lifecycle.
  • Demonstrated knowledge of the current NSG/ASG and NRO enterprises.
  • Previous NGA and/or NSG/ASG program or project work experience.
  • Previous IC or DoD program or project work experience.
  • Active TS/SCI clearance required.

Desired Qualifications

  • Master’s degree or higher in Systems Engineering or a related technical or scientific field.
  • Working knowledge of Model-Based Systems Engineering (MBSE) processes, tools, and languages.
  • Software Development Framework certification.
  • INCOSE Expert Systems Engineering Professional (ESEP) certification.
  • Licensure as a professional engineer.
  • Membership or leadership participation in professional organizations such as ACSM, ASCE, ASPRS, OGC, SAREM, or USGIF.
  • Extensive work experience in the field of geospatial intelligence.
  • Experience engineering solutions using cloud-based technologies.
  • Experience engineering solutions using structured and unstructured Big Data.
  • Experience engineering solutions using Automation, Augmentation, and Artificial Intelligence technologies.
  • Demonstrated expertise in photogrammetry, remote sensing, image science, information sciences, geographic information systems, geomatics, or related fields.

Compensation & Pay Scale

Salary Range: $140,000 to $155,000

Determination: The final salary offered will be based on the awarded contract funding and the selected candidate’s experience, education, and geographic location.

SHINE Systems is an Equal Employment/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, or veteran status, or any other protected class by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.