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Remote Intelligent Systems Engineering Jobs in Palmdale, CA

Red Cup IT Inc

Systems Engineer

Los Angeles, CA · On-site +1

Configure and support Active Directory, Group Policy, DNS, DHCP, VPN, and remote access solutions ... Several years of experience in systems engineering or administration, ideally in an MSP or multi ...

Red Cup IT, Inc.

Systems Engineer

Los Angeles, CA · On-site +1

Configure and support Active Directory, Group Policy, DNS, DHCP, VPN, and remote access solutions ... Several years of experience in systems engineering or administration, ideally in an MSP or ...

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Remote Intelligent Systems Engineering information

See Palmdale, CA salary details

$57.2K

$136K

$178.5K

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

As of Aug 19, 2026, the average yearly pay for remote intelligent systems engineering in Palmdale, CA is $135,979.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,800.00 and $167,800.00 per year, depending on experience, location, and employer.

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 popular job titles related to Remote Intelligent Systems Engineering jobs in Palmdale, CA?

For Remote Intelligent Systems Engineering jobs in Palmdale, CA, the most frequently searched job titles are:

What job categories do people searching Remote Intelligent Systems Engineering jobs in Palmdale, CA look for?

The top searched job categories for Remote Intelligent Systems Engineering jobs in Palmdale, CA are:

What cities near Palmdale, CA are hiring for Remote Intelligent Systems Engineering jobs?

Cities near Palmdale, CA 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 Palmdale, CA as of August 2026, with employment types broken down into 86% Full Time, 10% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $135,979 per year, or $65.4 per hour.

Systems Engineer (Remote)

Red Cup IT, Inc.

Los Angeles, CA • Remote

Full-time

Re-posted 17 days ago

Job description

We are looking for an MSP Systems Engineer who is responsible for maintaining, supporting, and improving client IT environments across onpremises and cloud infrastructure, ensuring high availability, security, and performance for multiple customers in a fastpaced managed services setting.

Key Duties and Responsibilities:

  • Monitor, maintain, and administer client servers, workstations, and network devices (Windows Server, desktops, switches, firewalls, WiFi).
  • Respond to and resolve Level 2/3 support tickets and escalations.
  • Plan, design, and implement infrastructure projects such as server builds, virtualization, cloud migrations, and security improvements.
  • Manage Microsoft 365 and related cloud services (Exchange Online, Teams, SharePoint, Intune), including migrations and ongoing administration.
  • Configure and support Active Directory, Group Policy, DNS, DHCP, VPN, and remote access solutions.
  • Maintain backup and disaster recovery solutions, regularly verify backups, and participate in restoration testing.
  • Ensure systems are patched, secure, and compliant with best practices and client policies.
  • Document configurations, procedures, and project work; contribute to internal knowledge base.
  • Collaborate with project managers, vendors, and internal teams; provide guidance to junior engineers as needed.

Required Skills and Experience:

  • Several years of experience in systems engineering or administration, ideally in an MSP or multiclient environment.
  • Strong knowledge of Windows Server, Active Directory, Group Policy, DNS, DHCP, and Microsoft 365.
  • Experience with virtualization platforms (VMware vSphere/ESXi, HyperV).
  • Solid understanding of networking fundamentals: VLANs, VPNs, routing, switches, and firewalls.
  • Familiarity with backup/DR tools and RMM/PSA platforms (e.g., Datto, Veeam, ConnectWise, Autotask).
  • Strong troubleshooting, documentation, and customer service skills, with the ability to manage multiple client environments at once.

Preferred Qualifications:

  • Scripting/automation experience (PowerShell).
  • Exposure to Azure AD, Azure IaaS, and security best practices (MFA, endpoint protection).
  • Relevant certifications (e.g., Microsoft, VMware, Cisco, security).