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Remote Intelligent Systems Engineering Jobs in New York

Etsy

Director Engineering, Internal IT

New York, NY · On-site +1

$274K - $356K/yr

The Director of Engineering, Internal IT is a senior engineering leader responsible for shaping and ... and building intelligent systems that scale with Etsy's business. Where others see a support ...

My IT Crew

Senior Systems Engineer (Remote)

Brooklyn, NY · On-site +1

$85K - $100K/yr

This position is fully remote anywhere in the United States. Ready to get off the IT machine and ... A minimum of 5+ Years experience in support and engineering of Windows on-premise and cloud ...

My IT Crew

Senior Systems Engineer (Remote)

Brooklyn, NY · Remote

$109K - $150K/yr

This position is fully remote anywhere in the United States. Ready to get off the IT machine and ... A minimum of 5+ Years experience in support and engineering of Windows on-premise and cloud ...

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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 New York? The most popular types of Intelligent Systems Engineering jobs in New York are:
What are popular job titles related to Remote Intelligent Systems Engineering jobs in New York? For Remote Intelligent Systems Engineering jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Intelligent Systems Engineering jobs in New York look for? The top searched job categories for Remote Intelligent Systems Engineering jobs in New York are:
What cities in New York are hiring for Remote Intelligent Systems Engineering jobs? Cities in New York with the most Remote Intelligent Systems Engineering job openings:
Remote Intelligent Systems Engineering jobs near you
Infographic showing various Remote Intelligent Systems Engineering job openings in New York as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

MBSE (Model-Based Systems Engineering) Systems Engineer/Remote

Apetan Consulting llc

Jersey City, NJ • Remote

$80 - $150/hr

Contractor

Re-posted 7 days ago

Job description

 
Job Description- MBSE (Model-Based Systems Engineering) Systems EngineerLocation- RemoteJob Summary

We are seeking an MBSE Systems Engineer to support the development, analysis, and management of complex systems using Model-Based Systems Engineering (MBSE) methodologies. The ideal candidate will work with cross-functional teams to define system requirements, develop system architectures, and create system models that improve traceability, consistency, and lifecycle management.

Key Responsibilities
  • Develop and maintain system models using MBSE methodologies and tools.
  • Capture, analyze, and manage system requirements.
  • Create system architecture, behavior, structure, and interface models.
  • Support system design, verification, validation, and integration activities.
  • Ensure traceability between requirements, design artifacts, and test cases.
  • Collaborate with engineering, software, hardware, and project teams throughout the system lifecycle.
  • Perform impact analysis and support change management activities.
  • Generate engineering documentation and reports from system models.
  • Participate in technical reviews, design reviews, and stakeholder meetings.
  • Support process improvement initiatives related to systems engineering and MBSE adoption.
Required Skills & Experience
  • Experience with Model-Based Systems Engineering (MBSE) principles and practices.
  • Knowledge of systems engineering lifecycle processes.
  • Hands-on experience with MBSE tools such as:
    • Cameo Systems Modeler / MagicDraw
    • IBM Rational Rhapsody
    • Sparx Enterprise Architect
    • Capella (preferred)
  • Experience with SysML/UML modeling.
  • Understanding of requirements management and traceability.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work in a multidisciplinary engineering environment.
Preferred Qualifications
  • Bachelor's or Master's degree in Systems Engineering, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Computer Engineering, or a related field.
  • Knowledge of systems engineering standards such as:
    • INCOSE MBSE
    • ISO/IEC/IEEE 15288
    • DoDAF, UAF, or NAF frameworks
  • Experience in Aerospace, Defense, Automotive, Manufacturing, Energy, or Industrial Systems domains.
  • Familiarity with requirements management tools such as:
    • IBM DOORS
    • Jama
    • Polarion