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Remote Intelligent Systems Engineering Jobs (NOW HIRING)

Intelligent Waves LLC

Products Engineer

Reston, VA · On-site +1

Overview Intelligent Waves is seeking 2 Products Engineers to support the design, deployment, and ... Minimum five (5) years of IT Network and/or Systems Engineering experience * Strong problem-solving ...

Axonius

Director, Systems Engineering

$200K - $240K/yr

US Remote, East or Central Timezones Axonius is seeking a leader for the global IT Engineering team to build secure, automated internal systems as the company scales globally. Reporting to the VP of ...

Frontline Education

Sr. Software Engineer

$125K - $165K/yr

Remote Hybrid to Wayne, PA or Naperville, IL considered How you'll contribute to our mission At ... engineering, applied machine learning, or intelligent systems development with demonstrated ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Tailor systems engineering processes and techniques to a wide range of technology development ...

TripleTen

We're launching a program for experienced engineers transitioning into system architecture roles ... Fully remote work with flexible hours * A digital office - we use modern tools (Notion, Miro, Slack ...

Huzzle

AI Engineer - Remote

You'll work closely with product, engineering, and data teams to create intelligent systems that ... Experience working in remote or distributed teams is a plus. Benefits Competitive salary based on ...

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$127.2K

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

As of Jun 19, 2026, the average yearly pay for remote intelligent systems engineering in the United States is $127,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $157,000.00 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 engineers make $300,000 a year?

Senior engineers in specialized fields such as software, systems, or hardware engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High-paying roles often require expertise in areas like artificial intelligence, cybersecurity, or cloud infrastructure, along with relevant certifications and a strong track record of project management.

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.

Can you work remotely as an AI engineer?

Remote work is common for AI engineers, including those specializing in intelligent systems, as many companies offer flexible or fully remote positions. Success in remote roles often requires strong communication skills, proficiency with collaboration tools, and the ability to work independently on complex projects. However, some positions may require occasional on-site visits or specific hardware access.

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 is an intelligent systems engineering salary?

The salary for an intelligent systems engineer typically ranges from $80,000 to $130,000 annually, depending on experience, education, and location. Professionals in this field often have skills in machine learning, robotics, and software development, with higher salaries generally associated with advanced certifications and expertise in AI tools.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or systems engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often includes base salary, bonuses, and stock options, particularly in technology companies or industries with high demand for technical expertise.
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Remote Intelligent Systems Engineering jobs near you
Infographic showing various Remote Intelligent Systems Engineering job openings in the United States as of June 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 100% Remote job distribution, with an average salary of $127,215 per year, or $61.2 per hour.
Products Engineer

Products Engineer

Intelligent Waves LLC

Reston, VA • On-site, Remote

Full-time

Posted 7 days ago

Job description

Overview
Intelligent Waves is seeking 2 Products Engineers to support the design, deployment, and sustainment of advanced enterprise technology solutions for our government customers. The Products Engineer will play a key role in developing and implementing scalable on-premises and cloud-based infrastructures across complex, geographically dispersed environments. This position will work closely with cross-functional teams to drive product strategy, optimize network and system performance, and deliver secure, reliable, and mission-focused capabilities. The ideal candidate brings a strong background in cloud technologies, network engineering, automation, and operational support, along with the ability to collaborate effectively across technical and business stakeholders to ensure successful product delivery and customer satisfaction.
Location: This position is 100% remote with travel.
Travel: Ability to travel up to 30% of the time and will be reimbursed based on IW policy, GSA Per Diem rates and DoD Joint Travel Regulations (JTR) as required.
Clearance Requirement: Candidates must be a United State citizen and have the ability to obtain & maintain a TS/SCI security clearance with the DoD to be considered for this role.
Intelligent Waves delivers mission-focused multi-domain operational expertise and innovation to the Government through high-impact technology solutions in cybersecurity, data science, enterprise network & systems engineering, software development, and cognitive human performance.
ANYTIME. ANYWHERE. ANY DOMAIN.
Since 2006, we have proudly served federal agencies including the Department of Defense. Our ability to operate globally in a wide range of environments, coupled with our deep understanding of customer needs and requirements, enables us to provide cost-effective solutions to support the most complex missions.
Adherence to all customer site protocols is mandatory for employees.
Responsibilities
  • Design and implement networking infrastructures, both on-premises and cloud-based, in support of complex geographically dispersed Information Technology (IT) systems
  • Assist with the planning, development, and execution of product strategies and technology roadmaps
  • Conduct continuous monitoring and analysis of mission-critical networks and servers to maintain optimal performance standards and SLA compliance
  • Deploy networks, applications, and services across major cloud platforms including AWS, Azure, and GCP to ensure scalability, performance, and efficient resource utilization across enterprise environments
  • Utilize CI/CD and automation tools including Terraform and Ansible to streamline deployment and configuration management processes, enabling efficient and reliable delivery of customer environments
  • Build and maintain technical documentation to support deployment, sustainment, troubleshooting, and incident resolution activities
  • Assist with network operations and maintenance troubleshooting efforts to resolve issues promptly, including participation in off-duty on-call support rotations as needed
  • Execute projects on schedule and within budget constraints
  • Collaborate closely with cross-functional teams including engineering, design, marketing, and sales to ensure Intelligent Waves products maintain competitive advantages
  • Foster teamwork, collaboration, and professional accountability across department members, encouraging constructive conflict resolution, inclusivity, and operational effectiveness
  • Build and maintain strong relationships with customers, partners, and other key stakeholders
  • Perform other duties as assigned

Qualifications
  • Strong understanding of cloud networking concepts and configuration within major cloud providers including AWS, Azure, and GCP
  • Experience working with CI/CD pipeline tools such as Terraform and Ansible to automate complex configurations and deployments
  • Hands-on experience with Juniper networking products
  • Hands-on experience with networking technologies including routers, switches, firewalls, and related infrastructure from vendors such as Cisco, Dell, and Palo Alto
  • Experience with deployment and configuration of KG-175 and/or KG-255 encryption equipment
  • Deep understanding of Linux operating systems including RHEL/CentOS and Ubuntu
  • Deep understanding of Windows Server operating systems and associated server roles
  • Minimum five (5) years of IT Network and/or Systems Engineering experience
  • Strong problem-solving skills with the ability to identify innovative technical solutions
  • Experience working in fast-paced and dynamic operational environments
  • Experience with the design, configuration, and implementation of CSfC solutions and associated compliance requirements
  • Foundational understanding of DoD procurement processes and schedules
  • Enterprise Routing and Switching Specialist (JNCIS-ENT) or equivalent certification preferred
  • Cisco Certified Network Associate (CCNA) or equivalent certification preferred
  • DoD 8570 IAT Level II Certification required (e.g., CCNA Security, CySA+, GICSP, GSEC, Security+ CE, CND, or SSCP)
  • Relevant work experience in a technical field utilizing the required skills and knowledge may be considered in lieu of formal education. A Bachelor's degree in Computer Engineering, Computer Science, Cybersecurity, or a related technical discipline is preferred.

Personal Attributes:
  • Excellent interpersonal skills and the ability to work effectively within diverse teams
  • Ability to communicate effectively with executive leadership, military leaders, and civilian government officials
  • Strong problem-solving and creative-thinking skills with the ability to exercise sound judgment and make timely decisions
  • High level of integrity, dependability, urgency, and mission focus
  • Ability to support multiple projects and rapidly integrate into new customer environments
  • Willingness to provide limited after-hours support for network administration, operations, and maintenance activities
  • Ability to thrive in dynamic environments by adapting quickly to changing priorities and operational challenges

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