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Remote Intelligent Systems Engineering Jobs (NOW HIRING)

Mondo

Sr. Staff AI Engineering

Horsham, PA · Remote

$81 - $104/hr

Remote (EST working hours) Duration: 5 month Contract-to-Hire Compensation Range: $81-$104/hr W2 ... Experience building and operationalizing AI agents, LLM workflows, and intelligent systems

DataAnnotation

You will engage in remote work to solve diverse coding problems, evaluate AI-generated code, and ... intelligent systems. The role requires fluency in English and familiarity with programming ...

ManTech International

Technical Solutions Director

$139.70K - $250.70K/yr

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

Intelligent Waves LLC

Products Engineer

Reston, VA · On-site +1

Overview Intelligent Waves is seeking 2 Products Engineers to support the design, deployment, and ... Minimum five (5) years of IT Network and/or Systems Engineering experience * Strong problem-solving ...

Axonius

Director, Systems Engineering

$200K - $240K/yr

US Remote, East or Central Timezones Axonius is seeking a leader for the global IT Engineering team to build secure, automated internal systems as the company scales globally. Reporting to the VP of ...

Axonius

Director, Systems Engineering

Manhattan, NY · Remote

$200K - $240K/yr

US Remote, East or Central Timezones Axonius is seeking a leader for the global IT Engineering team to build secure, automated internal systems as the company scales globally. Reporting to the VP of ...

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

As of May 29, 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 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 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.

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:
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Remote Intelligent Systems Engineering jobs near you
Infographic showing various Remote Intelligent Systems Engineering job openings in the United States as of May 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $127,215 per year, or $61.2 per hour.
Consulting Engineer, Manufacturing Systems Engineering

Consulting Engineer, Manufacturing Systems Engineering

General Electric Company

Evendale, OH • Remote

Full-time

Posted 2 days ago

Job description

Job Description SummaryThe GE Aerospace Consulting Engineer - Manufacturing Systems Engineering leads projects and initiatives with broad scope and high impact to the business or is a recognized expert in a specialized field. In this role you will be responsible for major and complex assignments with long-term business implications, manage complex issues within functional area(s) of expertise, and contribute to the overall business strategy. This role will guide the Manufacturing Systems Engineering technical pyramid in championing standard work, technical reviews, and advancing the state of the art in Model Based Manufacturing and Machine and Process Health.Job Description

Roles and Responsibilities:

  • Serve as a recognized technical expert in Manufacturing Systems Engineering, Model-Based Manufacturing, and Machine and Process Health, and provides consultation to management, all design, manufacturing, quality, supplier, and services organizations supporting engines life cycle.
  • Remain cognizant of state-of-the-art in Manufacturing Systems Engineering
  • Provide technical leadership in design reviews, task force, industrial committees, and design boards and technical pyramids as necessary
  • Work closely with Chief Consulting Engineers and Chief Manufacturing Engineers in adjacent areas
  • Enhance technical excellence across manufacturing organizations in Manufacturing Systems Engineering
  • Identify and recommend where improvements in knowledge of the specific discipline are needed or where technical training is needed
  • Establish a total quality management strategy to assure early involvement on manufacturing process / producibility matters
  • Provide leadership to help focus and integrate new technology smoothly into production
  • Suggest areas where technology advancements are needed and recommend approaches / programs to pursue
  • Lead / support study teams to address top problems within the organization or projects in focused technical areas
  • Consult with and support the Chief Engineer's Office in the execution of technical goals of the office

QUALIFICATIONS / REQUIREMENTS:

  • Bachelor of Science in Engineering, Physics, Chemistry, Mathematics, or Computer Science from an accredited college or university
  • At least 8 additional years of experience in an engineering capacity

DESIRED CHARACTERISTICS:

  • Strong oral and written communication skills
  • Strong interpersonal and leadership skills
  • Leadership to pursue correct engineering process in adverse conditions
  • Ability to interface effectively with all levels of the organization
  • Considered an expert in a specific engineering discipline
  • Six Sigma Green Belt or Black Belt certification

This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)).

Additional Information

GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is anEqual Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Relocation Assistance Provided: Yes

#LI-Remote - This is a remote position

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