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Remote Intelligent Systems Engineering Jobs in Indiana

K1X

Data Engineer

Indianapolis, IN · On-site +1

$109K - $131K/yr

... intelligent software. k1x.io As our platform evolves toward deeper analytics, insights, and AI ... This role sits at the intersection of Product Engineering, Data, and Machine Learning. You will be ...

K1X

Data Engineer

Indianapolis, IN · On-site +1

$109K - $131K/yr

... intelligent software. k1x.io As our platform evolves toward deeper analytics, insights, and AI ... This role sits at the intersection of Product Engineering, Data, and Machine Learning. You will be ...

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 ...

Harris

... engineering role. * Strong proficiency in core GIS principles, including coordinate systems ... Remote work and more! About DataVoice: DataVoice International's integrated utility management ...

Harris

... engineering role. * Strong proficiency in core GIS principles, including coordinate systems ... Remote work and more! About DataVoice: DataVoice International's integrated utility management ...

Harris

... and Engineering teams to improve customer outcomes. * Analyze existing systems to understand ... Remote work and more! About MACC: Telecommunication companies of all sizes across the United States ...

SOSi

Sr. Software Engineer

Indianapolis, IN · On-site +1

$117K - $154K/yr

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field ... Remote or Hybrid work model * Core hours of operation are Monday through Friday, 0600 - 1700. * May ...

SOSi

Sr. Software Engineer

Indianapolis, IN · On-site +1

$117K - $154K/yr

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field ... Remote or Hybrid work model * Core hours of operation are Monday through Friday, 0600 - 1700. * May ...

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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.

Data Engineer

K1X

Indianapolis, IN • On-site, Remote

$109K - $131K/yr

Full-time

Medical, Retirement, PTO

Posted 9 days ago

Job description

We are K1x. Our platform powers the first fully digital K-1, transforming how alternative investment tax data is extracted, validated, distributed, and analyzed. Trusted by leading institutional investors, fund administrators, and accounting firms, K1x replaces manual, error-prone workflows with scalable, intelligent software. k1x.io
As our platform evolves toward deeper analytics, insights, and AI-driven capabilities, data engineering is becoming a foundational pillar of our product and technology strategy.
About The Role
We are seeking a Data Engineer to design, build, and maintain the data pipelines and infrastructure that power K1x's machine learning initiatives and future analytics-driven product features.
This role sits at the intersection of Product Engineering, Data, and Machine Learning. You will be responsible for creating reliable, scalable, and high-quality data systems that enable downstream ML models, reporting, and embedded analytics.
What You'll Do
- Design, build, and maintain scalable data architectures supporting operational, analytical, and ML workloads.
- Contribute to the evolution of K1x's data lakehouse strategy, including adoption of Snowflake.
- Develop and maintain robust ETL/ELT pipelines for large-scale data processing.
- Implement data quality checks, validation, and monitoring.
- Enable machine learning workflows with clean, well-structured datasets.
- Support analytics and reporting use cases including Power BI.
- Partner with Product, Engineering, and AI teams on data solutions.
Requirements
Who You Are
- 4-8+ years of experience in data engineering or backend engineering with a data focus.
- Strong experience building data pipelines and ETL/ELT workflows.
- Proficiency with SQL and relational data modeling.
- Experience with cloud-based data platforms (Azure preferred).
- Understanding of data quality, reliability, and monitoring.
- Strong communication and collaboration skills.
It's Truly a Match If You Have
- An engineering mindset applied to data platforms.
- Passion for building scalable, reliable data foundations.
- Interest in enabling ML and analytics-driven products.
- Experience or familiarity with Snowflake, SQL Server, Azure, and Power BI.
- Comfort balancing near-term delivery with long-term architecture.
Benefits
  • Unlimited Vacation Policy + Sick Time + Holidays
  • Paid Parental Leave
  • Fully Remote Opportunity
  • Healthcare Benefits and 401K
  • Growing Startup Culture
K1x logo

About K1x

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

Elk Grove Village, IL, US

Year founded

2022

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