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Remote Intelligent Systems Engineering Jobs in California

Teradata

Staff Engineer - AI Platform - 220133

San Diego, CA · On-site +1

$169K - $211K/yr

... intelligent systems that go far beyond automation - they observe, reason, adapt, and drive complex decision-making across large-scale enterprise environments. As a member of our AI engineering team ...

Happy Dad

AI SOFTWARE ENGINEER

Anaheim, CA · Remote

Our goal is to replace slow, manual processes with intelligent systems that think, adapt, and ... Strong software engineering fundamentals and experience building real products Solid Python skills ...

Virco Talent

Software Engineer - AI Agents

Sacramento, CA · On-site +1

$200K - $320K/yr

This role is ideal for someone who enjoys building intelligent systems, rapidly prototyping new ... The ideal candidate will combine strong backend engineering fundamentals with creativity in ...

SAIC

Systems Engineer Principal - MBSE

San Diego, CA · On-site +1

$120K - $160K/yr

Engineering and Sciences Subcategory: Digital Engineer Schedule: Full-Time Shift: Day Job Travel ... None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a cleared MBSE Systems ...

SAIC

Systems Engineer Principal - MBSE

San Diego, CA · On-site +1

$120K - $160K/yr

Engineering and Sciences Subcategory: Digital Engineer Schedule: Full-Time Shift: Day Job Travel ... None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a cleared MBSE Systems ...

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 ...

Abbott

Senior Systems Engineer

Los Angeles, CA · Remote

$112K - $154K/yr

... the remote monitoring and digital health product portfolio. MAIN RESPONSIBILITIES 1. Creates ... Applies engineering/ process knowledge to support system engineering activities. 8. Leads ...

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Remote Intelligent Systems Engineering information

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.
What are the most commonly searched types of Intelligent Systems Engineering jobs in California? The most popular types of Intelligent Systems Engineering jobs in California are:
What are popular job titles related to Remote Intelligent Systems Engineering jobs in California? For Remote Intelligent Systems Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Intelligent Systems Engineering jobs in California look for? The top searched job categories for Remote Intelligent Systems Engineering jobs in California are:
What cities in California are hiring for Remote Intelligent Systems Engineering jobs? Cities in California with the most Remote Intelligent Systems Engineering job openings:
Remote Intelligent Systems Engineering jobs near you
Temporary Online Course Developer - RITM 140 Advanced Cloud Engineering & Intelligent Infrastruct...

Temporary Online Course Developer - RITM 140 Advanced Cloud Engineering & Intelligent Infrastruct...

Brandeis University

Brandeis, CA • Remote

$3.0K/wk

Part-time

Posted 2 hours ago

Job description

Temporary Online Course Developer - RITM 140 Advanced Cloud Engineering & Intelligent Infrastructure Automation

Location: Remote (U.S.-based only)
Division: Rabb School of Continuing Studies, Brandeis University
Compensation: $3,000 (Approx. 65 hours over 12 weeks)

Brandeis University's Rabb School of Continuing Studies is seeking a skilled online course developer to design and build a new three credit asynchronous online course titled: RITM 140 Advanced Cloud Engineering & Intelligent Infrastructure Automation.

This role is for an experienced academic and curriculum strategist to serve as an Online Course Developerwithin Brandeis Online's graduate program. The developer will design and build asynchronous, instructor-facilitated online courses aligned with institutional learning outcomes, accreditation standards, and workforce relevance. This course will take a deeper dive using cloud engineering practices, infrastructure automation, distributed systems, and scaling patterns. This course emphasizes platform-agnostic concepts such as resource optimization, workload distribution, and automated environment provisioning.

Responsibilities:

The development of an online asynchronous course entails the creation and/or selection of elements as outlined in theBrandeis Online Course Standards. Required components include a Brandeis-compliant syllabus, instructor-created materials informed by current industry knowledge, learning objects, and applied assignments and assessments aligned to course and program outcomes.

The Developer is responsible for the substantive content and pedagogical strategies of the course and agrees to uphold Brandeis's academic standards and online course development guidelines.

Throughout the design process, the Developer will collaborate with Brandeis Online staff, adhere to technical requirements for LMS integration, and meet project milestones. Course drafts will be submitted at designated intervals for feedback, and final approval will be contingent upon a comprehensive design review by a Learning Designer, and Brandeis Online.

Qualifications:

  • Master's degree in Computer Science, Cloud Computing, Information Systems, Systems Engineering, or a closely related field.

  • Minimum 3+ years of professional experience in cloud engineering, infrastructure automation, distributed systems, or platform engineering.

  • Demonstrated expertise with cloud architecture and infrastructure automation tools (e.g., Terraform, Kubernetes, Docker, Ansible, CI/CD pipelines).

  • Experience designing scalable, resilient cloud environments and automated provisioning workflows across enterprise platforms.

  • At least 1 year of teaching or training experience (preferably online/asynchronous).

  • Minimum 1 year experience developing asynchronous online courses for adult learners in higher education.

  • Proficiency with LMS platforms and digital authoring tools.

  • Familiarity with analytical tools, collaborative platforms, and interdisciplinary teamwork.

  • Strong communication, organization, and independent work skills.

  • Familiarity with curriculum design, accreditation standards, and graduate-level rigor.

  • Ability to translate interdisciplinary content into engaging, accessible learning pathways.

  • Strong writing and editing skills to produce cohesive, learner-centered experiences.

Preferred Experience:

  • Doctorate (PhD or DBA) in Computer Science, Cloud Computing, Information Systems, Software Engineering, or related field.

  • 5+ years of experience in cloud architecture, platform engineering leadership, or infrastructure strategy within enterprise environments.

  • Professional experience as a Cloud Architect, Platform Engineer, Infrastructure Architect, or DevOps Engineering Lead.

  • Industry certifications such as AWS Certified Solutions Architect (Professional), Google Professional Cloud Architect, Azure Solutions Architect Expert, Certified Kubernetes Administrator (CKA), or equivalent.

  • Experience teaching or developing graduate-level online courses.

  • Knowledge of global learner personas and culturally responsive pedagogy.

  • Familiarity with Moodle LMS and digital authoring tools (e.e., H5P).

  • Familiarity with experiential learning models and employer-aligned curriculum.

Additional Details:

  • Fully remote (U.S.-based applicants only; no visa sponsorship).

  • 12-week development timeline (~65 total hours).

  • Compensation: $3000.00.

Pay Range Disclosure

The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.

Equal Opportunity Statement

Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

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