2

Remote Intelligent Systems Engineering Jobs (NOW HIRING)

Systems Engineer

$116K - $194K/yr

... join our Intelligent Engineering Practice. This is a remote position where you will lead the Model-Based Systems Engineering (MBSE) approach to developing systems models for a cutting-edge ...

Manager, Systems Engineering

Richmond, VA · On-site +1

$127K - $236K/yr

Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days- totaling 80 hours worked- and have every other Friday off The Manager of System Solution Engineering (SSE) is the ...

Manager, Systems Engineering

Lynchburg, VA · On-site +1

$127K - $236K/yr

Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days- totaling 80 hours worked- and have every other Friday off The Manager of System Solution Engineering (SSE) is the ...

Mission and Enterprise IT, Intelligent Systems Engineering, Digital Engineering, Model Based ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Systems Engineer

$77K - $128K/yr

... Intelligent Engineering Practice. This is a remote position where you will support the ... Assisting higher-level engineers in drafting system context and lower-level models for the Initial ...

next page

Showing results 1-20

People also search for

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 18, 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 Engineering

Systems Engineering

Apogee Engineering, LLC

Warner Robins, GA • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Overview
Apogee has an opportunity for a Systems Engineer to provide contractor site reachback support for the M-Code Aviation Receivers Joint Program Office (MAR JPO). These positions provide systems engineering support for platform integration, future planning, and Studies & Analysis activities.
These are full-time remote positions with occasional travel to government sites.
Responsibilities
Systems Engineering Support:
  • Support platform, weapons, and Multi-GNSS integration activities
  • Conduct systems engineering analysis and documentation
  • Support requirements development and traceability
  • Assist in the Interface Control Document (ICD) development and review

Future Planning:
  • Support development of comprehensive roadmaps for PNT/NAVWAR capabilities
  • Monitor plans of the Navy, Coast Guard, and Army aircraft programs
  • Assist in creating resource-loaded integrated master schedules
  • Support technology maturation planning

Studies & Analysis:
  • Execute assigned Studies & Analysis (S&A) tasks
  • Conduct trade studies and technical research
  • Support technology assessments and evaluations
  • Prepare technical reports and documentation

Technical Analysis:
  • Translate requirements into design criteria
  • Evaluate alternative design approaches
  • Develop system specifications
  • Support technical reviews and assessments

Integration Support:
  • Support System Integration Lab (SIL) testing coordination
  • Assist in platform integration planning
  • Evaluate integration approaches and risks
  • Support testing and verification activities

Qualifications
Minimum Experience:
Citizenship: Must be a US citizen
Clearance: Must have and be able to maintain a TS/SCI level clearance
Education: Bachelor's Degree in Engineering or related technical field
Years of Experience: 7 years of systems engineering experience
Additional experience:
  • Knowledge of GPS/GNSS systems and navigation
  • Experience with avionics or platform integration preferred
  • Understanding of systems engineering processes
  • Proficiency in technical writing and analysis
  • Strong analytical and problem-solving skills
  • Ability to work independently in a remote environment

Preferred Experience:
Education: Master's Degree in Engineering or related technical fieldYears of Experience: 5 years of systems engineering experience
Additional Information:
Location: Contractor Site (National - Remote)
Remote: This is a full-time remote position
Travel: Travel up to 15% may be required, per the customer's discretion