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Remote Embedded Ai Jobs in Indiana (NOW HIRING)

SAIC

Senior Software Engineer

Crane, IN · On-site +1

$122K - $161K/yr

Secret Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a highly motivated and ... Knowledge of computer vision, machine learning, or AI algorithms for autonomous systems.

Cheesecake Labs

... AI-Accelerated Delivery, and Embedded Engineering Teams. We deliver agentic workflows in 8-12 weeks ... Remote-first * Flexible allocation depending on project availability and fit * Opportunities may ...

Crowe LLP

Workday Absence & HCM Senior Analyst

Fort Wayne, IN · Remote

$89K - $113K/yr

That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology ... Responsible for configuring business processes including notifications, condition rules, embedded ...

Crowe LLP

Workday Absence & HCM Senior Analyst

South Bend, IN · Remote

$88K - $112K/yr

That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology ... Responsible for configuring business processes including notifications, condition rules, embedded ...

Xplor

Account Executive

Fort Wayne, IN · On-site +1

$100K/yr

Through modern vertical software, embedded payments (Xplor Pay), and AI-powered capabilities, we ... You can work fully remote in this position, provided you have eligible working rights, and are able ...

Xplor

Account Executive

Fort Wayne, IN · On-site +1

Through modern vertical software, embedded payments (Xplor Pay), and AI-powered capabilities, we ... You can work fully remote in this position, provided you have eligible working rights, and are able ...

Xplor

Account Executive

Indianapolis, IN · On-site +1

Through modern vertical software, embedded payments (Xplor Pay), and AI-powered capabilities, we ... You can work fully remote in this position, provided you have eligible working rights, and are able ...

Xplor

Account Executive

Indianapolis, IN · On-site +1

$100K/yr

Through modern vertical software, embedded payments (Xplor Pay), and AI-powered capabilities, we ... You can work fully remote in this position, provided you have eligible working rights, and are able ...

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Remote Embedded Ai information

What is a remote embedded AI engineer?

A Remote Embedded AI engineer is a professional who develops and integrates artificial intelligence (AI) algorithms into embedded systems, such as IoT devices, sensors, or smart appliances, while working from a remote location. Their role involves optimizing AI models to run efficiently on hardware with limited resources, ensuring reliable performance and low power consumption. These engineers typically collaborate with cross-functional teams to deliver intelligent, connected products, leveraging skills in machine learning, software development, and embedded hardware. Working remotely allows them to contribute to global projects without being tied to a specific office location.

What are the key skills and qualifications needed to thrive as a remote embedded AI engineer?

To thrive as a Remote Embedded AI Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++, Python, or TensorFlow Lite, often supported by a degree in computer engineering or related fields. Familiarity with real-time operating systems (RTOS), edge AI development platforms, and version control tools such as Git is typically required. Strong problem-solving skills, effective remote communication, and self-motivation help you excel in collaborative yet independent work environments. These competencies are crucial for building efficient, innovative AI solutions on hardware platforms while ensuring seamless teamwork across distributed teams.

What are some common challenges faced by remote embedded AI engineers, and how can they be overcome?

Remote Embedded AI Engineers often encounter challenges such as limited access to hardware for testing, asynchronous communication with distributed teams, and integrating AI models within resource-constrained embedded systems. Overcoming these challenges involves utilizing remote debugging tools, setting up robust simulation environments, and maintaining clear, regular communication with team members. Collaboration platforms and thorough documentation help ensure smooth coordination, while staying updated on best practices in embedded AI can address technical limitations.

What is the difference between Remote Embedded Ai vs Remote Machine Learning Engineer?

AspectRemote Embedded AiRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in Computer Science, Electrical Engineering, or related fields; experience with embedded systemsBachelor's or higher in Computer Science, Data Science, or related fields; strong programming and statistical skills
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsCloud platforms, data centers, software development environments
Industry UsageConsumer electronics, automotive, industrial IoTTech companies, finance, healthcare, research
Common Search/ComparisonYesNo

Remote Embedded Ai professionals focus on developing AI algorithms for embedded hardware and real-time systems, often working with IoT devices and specialized hardware. In contrast, Remote Machine Learning Engineers primarily develop models in cloud environments for data analysis and prediction. While both roles require strong programming skills, Embedded Ai emphasizes hardware integration, whereas Machine Learning Engineers focus on scalable model deployment.

What are popular job titles related to Remote Embedded Ai jobs in Indiana?

For Remote Embedded Ai jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Remote Embedded Ai jobs in Indiana look for?

The top searched job categories for Remote Embedded Ai jobs in Indiana are:

What cities in Indiana are hiring for Remote Embedded Ai jobs?

Cities in Indiana with the most Remote Embedded Ai job openings:

Remote Embedded Ai jobs near you
Infographic showing various Remote Embedded Ai job openings in Indiana as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Senior Software Engineer

Crane, IN • On-site, Remote

SAIC
IT Services • 10K+ employees
Learn more about SAICexternal

$122K - $161K/yr

Full-time

Posted 25 days ago

SAIC rating

7.7

Company rating: 7.7 out of 10

Based on 82 frontline employees who took The Breakroom Quiz

Job description

Job ID: 2615810

Location: Crane, IN, US

Date Posted: 2026-08-18

Category: Software

Subcategory: SW 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 highly motivated and skilled Software/Computer Engineer to contribute to concept development, design, and integration of projects involving remote weapon systems and autonomous systems. In this role, you will be responsible for supporting computer and software engineering tasks that are critical to the design, development, and implementation of cutting-edge technologies. The ideal candidate will play a key role in advancing our innovative remote weapon systems and contributing to our efforts in the autonomous systems domain.

This position is on-site in Crane, IN. 


Key Responsibilities:

  • Design, develop, and test software components and systems for remote weapon systems.
  • Collaborate cross-functionally with engineering teams to integrate software with hardware components in  complex systems.
  • Assist in the development, implementation, and testing of systems related to autonomous systems.
  • Participate in system requirements analysis, design reviews, and code inspections to ensure adherence to quality and performance standards.
  • Troubleshoot software and system issues, ensuring functionality, performance, and reliability.
  • Contribute to ongoing research and development efforts to advance system capabilities.
  • Document designs, specifications, and systems processes to ensure clear communication across teams.

Qualifications

Required Skills and Experience:

  • Bachelor's or Master's degree in Computer Engineering, Software Engineering, Computer Science, or a related field, plus five (5) years of experience. 
  • Strong proficiency in programming languages such as C++, Python, or Java.
  • Familiarity with software development tools, version control systems, and software development life cycle methodologies.
  • Solid understanding of systems engineering concepts and software-hardware integration.
  • Excellent problem-solving skills and attention to detail.
  • Strong written and verbal communication skills, with the ability to collaborate effectively within a team.


Preferred Qualifications:

  • Experience with robotic systems and/or weapon systems.
  • Knowledge of computer vision, machine learning, or AI algorithms for autonomous systems.
  • Experience with Real-Time Operating Systems (RTOS) or embedded software development.
  • Familiarity with simulation environments and tools for robotics or weapon systems.
  • Prior exposure to military or defense systems is highly desired.

Required Security Clearance: 

  • Must be able to obtain a Secret security clearance. Can start once interim clearance is granted. SAIC will sponsor the clearance process

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