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Remote Intelligent Systems Engineering Jobs in Indiana

SOSi

Systems Engineer III

Indianapolis, IN · On-site +1

Its capabilities include data science, software development, network engineering, intelligence ... Remote or Hybrid work model * Core hours of operation are Monday through Friday, 0600 - 1700. * May ...

SOSi

Systems Engineer III

Indianapolis, IN · On-site +1

Its capabilities include data science, software development, network engineering, intelligence ... Remote or Hybrid work model * Core hours of operation are Monday through Friday, 0600 - 1700. * May ...

SOSi

Systems Engineer III

Indianapolis, IN · On-site +1

Its capabilities include data science, software development, network engineering, intelligence ... Remote or Hybrid work model * Core hours of operation are Monday through Friday, 0600 - 1700. * May ...

Lucidworks

Senior IT Systems Engineer

Indianapolis, IN · Remote

$99K - $136K/yr

This is a fully remote individual contributor role within the Technology organization, working with ... Own IT systems engineering for corporate infrastructure, designing, implementing, and operating ...

SOSi

Sr. Systems Engineer

Indianapolis, IN · On-site +1

$99K - $136K/yr

Its capabilities include data science, software development, network engineering, intelligence ... Remote or Hybrid work model * Core hours of operation are Monday through Friday, 0600 - 1700. * May ...

SOSi

Sr. Systems Engineer

Indianapolis, IN · On-site +1

$99K - $136K/yr

Its capabilities include data science, software development, network engineering, intelligence ... Remote or Hybrid work model * Core hours of operation are Monday through Friday, 0600 - 1700. * May ...

Naval Sea Systems Command

ENGINEER

Crane, IN · On-site +1

$125K - $192K/yr

... remote or isolated sites. You must be able to travel on military and commercial aircraft for ... Examples of qualifying experience may include (1) working knowledge of Systems Engineering ...

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Remote Intelligent Systems Engineering information

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 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 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 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.

How much do remote intelligent systems engineers make?

Remote intelligent systems engineers typically earn between $80,000 and $130,000 annually, depending on experience, education, and industry. Senior roles or those with specialized skills in AI, machine learning, or robotics can command higher salaries, especially with proficiency in programming languages like Python and tools such as TensorFlow or ROS.

What are the most commonly searched types of Intelligent Systems Engineering jobs in Indiana?

The most popular types of Intelligent Systems Engineering jobs in Indiana are:

What are popular job titles related to Remote Intelligent Systems Engineering jobs in Indiana?

For Remote Intelligent Systems Engineering jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Remote Intelligent Systems Engineering jobs in Indiana look for?

The top searched job categories for Remote Intelligent Systems Engineering jobs in Indiana are:

What cities in Indiana are hiring for Remote Intelligent Systems Engineering jobs?

Cities in Indiana 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 Indiana as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Systems Engineer

Science Applications International Corporation

IN • On-site, Remote

Full-time

Posted 27 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

79th of 224 rated it services

Job description


SAIC is seeking a Systems Engineer (MBSE Systems Modeler) to support the development, sustainment, and overhaul of shipboard radar systems. This position will play a critical role in utilizing Model-Based Systems Engineering (MBSE) principles and tools to develop comprehensive Systems Requirements Models and ensure adherence to rigorous Systems Engineering Technical Review (SETR) processes. The selected candidate will collaborate with multidisciplinary teams to align system designs with customer requirements and technical standards. Work is primarily remote, with frequent visits to the customer site at the Naval Surface Warfare Center, Crane Division.
This is a unique opportunity for experienced systems engineers with strong expertise in MBSE using Cameo Systems Modeler to contribute to the cutting-edge development of radar technology.
This position will require 1 customer site per month (1-2 day) for various customer engagement or IT update requirements.
JOB RESPONSIBILITIES:
Development of Cameo Systems Model for Shipboard Radar Systems:
  • Develop and maintain comprehensive Cameo Systems Requirements Models to support new design, sustainment, and overhaul of shipboard radar systems.
  • Leverage SysML in Cameo to create and manage models that define system architecture, interfaces, behaviors, and data flows critical to radar system performance and functionality.

SETR Process Documentation & Deliverables:
  • Execute tasks in alignment with the Systems Engineering Technical Reviews (SETR) process as outlined in the Radar Technologies Design and Development procedure (IPDM Doc #: 12255-8843-970008), IEEE 15288.1, IEEE 15288.2, and NAVSEA PEO IWS Technical Review Manual.
  • Develop and deliver required SETR documentation and artifacts, including Systems Engineering Management Plan (SEMP), Test and Evaluation Master Plan (TEMP), Integrated Master Plan (IMP), Block Definition Diagrams (BDD), and Requirements Traceability Verification Matrix (RTVM).

Cross-Discipline Communication & Collaboration:
  • Collaborate with electrical and mechanical engineers, systems engineers, and other stakeholders to ensure effective communication and cross-functional integration of requirements and solutions.
  • Facilitate and participate in reviews, providing insights, analysis, and suggestions to address potential risks and propose improvements.

Compliance with Standards and Technical Guidance:
  • Ensure adherence to all applicable processes and standards, including IEEE 15288.1, IEEE 15288.2, NAVSEA PEO IWS Technical Review Manual, and other relevant technical guidance.
  • Align MBSE practices with customer-specified processes and military standards to meet program and mission objectives.

Qualifications
EDUCATION AND EXPERIENCE:
  • Bachelors in Systems Engineering, Electrical Engineering, Mechanical Engineering, or a related technical field and two (2) years or more experience; Masters and 0 years related experience.
  • Two (2) or more years of experience with MBSE tools and frameworks, specifically hands-on experience with SysML and Cameo Systems Modeler.
  • Knowledge and experience working with the SETR process for program management.
  • Familiarity with the development of SETR-associated documentation, including SEMP, TEMP, IMP, RTVM, and BDD.
  • Strong proficiency with Microsoft Office products (Word, Excel, and PowerPoint) and effective communication skills to collaborate across multidisciplinary teams.
  • Understanding of electrical and mechanical engineering concepts to support effective communication with technical teams.
  • Must have the ability to obtain and maintain an Interim Secret Clearance to start and a Secret Clearance. SAIC will sponsor the clearance process if necessary.
  • Candidate must be a U.S. Citizen.

PREFERRED EXPERIENCE:
  • Strong expertise as a moderate to heavy user of Cameo Systems Modeler.
  • Understanding of shipboard radar systems and related radar technologies.
  • Existing knowledge of NAVSEA PEO IWS Technical Review Manual requirements.
  • Familiarity with military standards relevant to radar systems, such as MIL-STDs.

About Us
SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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