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Remote Intelligent Systems Engineering Jobs in Indiana

SAIC

Systems Engineer Sr

Crane, IN · On-site +1

$104K - $142K/yr

Engineering and Sciences Subcategory: Systems Engineer Schedule: Full-Time Shift: Day Job Travel ... Secret Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Systems Engineer (MBSE ...

Motorola

$100K - $120K/yr

... intelligent capabilities designed specifically for public safety. The Solutions Architect role is ... Responsibilities involved the integration of programmatic, technical, systems engineering, business ...

Recruitment Room

$70 - $100/hr

Software Engineering / Development Expert Hourly Contract Remote Compensation: $70$100 per hour ... and system design. * Experience with agile methodologies and remote collaboration tools.

GMV

Embedded Software Engineer

New Albany, IN · On-site +1

$121K - $160K/yr

If you are passionate about technology and want to develop your career in intelligent transport systems, your place is here! If you don't know us yet, we are an engineering and innovation company ...

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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 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 July 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Systems Engineer Sr

Systems Engineer Sr

SAIC

Crane, IN • On-site, Remote

$104K - $142K/yr

Full-time

Posted 20 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

66th of 208 rated it services

Job description

Job ID: 2613811

Location: Crane, IN, US

Date Posted: 2026-06-18

Category: Engineering and Sciences

Subcategory: Systems Engineer

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: Interim_Secret

Clearance Level Must Be Able to Obtain: Secret

Potential for Remote Work: ORA_ON_SITE


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.

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

Required Education and Experience:

  • Bachelor’s degree (or higher) in Systems Engineering, Electrical Engineering, Mechanical Engineering, or a related technical field.
  • 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.

Location and Work Environment:
This position offers remote flexibility with frequent required travel to the Naval Surface Warfare Center, Crane Division, to support customer needs and system development efforts.

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