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Remote Intelligent Systems Engineering Jobs in Phoenix, AZ

Senior RF Space Systems Engineer

Tempe, AZ · On-site +1

$176K - $264K/yr

... remote sensing, and much more. The S3 team is primarily composed of a small group of highly skilled ... Strong understanding of systems engineering analysis including requirements definition and flow ...

Senior RF Space Systems Engineer

Tempe, AZ · On-site +1

$176K - $264K/yr

... remote sensing, and much more. The S3 team is primarily composed of a small group of highly skilled ... Strong understanding of systems engineering analysis including requirements definition and flow ...

Mainframe CICS Systems Programmer Senior

Phoenix, AZ · On-site +1

$54.50 - $69.50/hr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Helps establish and improve engineering best practices, concepts, and patterns with peers and the ...

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Remote Intelligent Systems Engineering information

See Phoenix, AZ salary details

$53.1K

$126.3K

$165.8K

How much do remote intelligent systems engineering jobs pay per year?

As of Jul 29, 2026, the average yearly pay for remote intelligent systems engineering in Phoenix, AZ is $126,313.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,300.00 and $155,900.00 per year, depending on experience, location, and employer.

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.
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Infographic showing various Remote Intelligent Systems Engineering job openings in Phoenix, AZ 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, with an average salary of $126,313 per year, or $60.7 per hour.