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Remote Systems Engineer Jobs in Riverside, CA (NOW HIRING)

Zorts Sports

Software Engineer

Claremont, CA · Remote

This is a hybrid/remote position based in Claremont, CA. Youll work alongside a collaborative product and engineering team to: * Architect and develop new systems that expand FFR into new industries

Quora

AI Automation Engineer -Remote

Pomona, CA · On-site +1

$202K - $234K/yr

Develop and maintain internal tools and systems that automate existing work and increase employee ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Qcells

Civil Engineer - Level 2

Irvine, CA · On-site +1

$115K - $130K/yr

Remote CIVIL ENGINEER - LEVEL 2 Hanwha Qcells USA Corp (Qcells USA), headquartered in Irvine, CA ... systems (BESS) project development, along with Engineering, Procurement, and Construction (EPC ...

Qcells

Senior Civil Engineer - Level 4

Irvine, CA · On-site +1

$145K - $170K/yr

Remote SENIOR CIVIL ENGINEER LEVEL 4 Hanwha Qcells USA Corp (Qcells USA), headquartered in Irvine ... systems (BESS) project development, along with Engineering, Procurement, and Construction (EPC ...

Happy Dad

AI SOFTWARE ENGINEER

Anaheim, CA · Remote

Our goal is to replace slow, manual processes with intelligent systems that think, adapt, and ... Full-time, Remote Pay: $80,000 - $100,000 Benefits: * PTO * Health / Dental / Vision * 401(k) ...

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All JobsRemote Systems Engineer JobsRemote Systems Engineer Jobs in Riverside, CA

Remote Systems Engineer information

See Riverside, CA salary details

$55.8K

$132.7K

$174.2K

How much do remote systems engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for remote systems engineer in Riverside, CA is $132,719.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,200.00 and $163,800.00 per year, depending on experience, location, and employer.

What is a Remote Systems Engineer?

A Remote Systems Engineer is an IT professional who designs, implements, manages, and maintains computer systems and networks for organizations while working from a remote location. They ensure that systems are reliable, secure, and perform optimally, often troubleshooting issues and deploying updates without being physically present onsite. Remote Systems Engineers typically use remote access tools to monitor systems, collaborate with teams, and provide technical support. Their work is essential for companies with distributed workforces or cloud-based infrastructure.

How can I make 2000 a week working from home?

A Remote Systems Engineer can earn $2,000 a week by working on high-demand projects, providing specialized technical support, or consulting for multiple clients simultaneously. Building a strong skill set in cloud platforms, scripting, and network security, along with certifications like Cisco or AWS, can help increase earning potential. Freelance platforms and remote job boards can also be used to find well-paying opportunities in this field.

How can I make $100,000 a year working from home?

A Remote Systems Engineer can earn $100,000 annually by gaining advanced certifications, such as Cisco or Microsoft certifications, and developing expertise in cloud platforms like AWS or Azure. Building a strong portfolio, gaining experience, and working for companies that offer remote roles with competitive salaries can also help achieve this income level.

What engineers make $500,000?

Senior-level 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 in high-demand industries like technology or finance. Compensation at this level often includes base salary, bonuses, and stock options, and typically requires advanced certifications and leadership responsibilities.

Can systems engineers work remotely?

Yes, many systems engineers can work remotely, especially those involved in designing, analyzing, and maintaining IT systems, networks, and software. Remote work often requires strong technical skills, familiarity with collaboration tools, and the ability to troubleshoot issues independently. However, some roles may require on-site presence for hardware installation or physical system management.

What Does a Remote Systems Engineer Do?

The job of a remote systems engineer is to develop, test, and maintain a computer network system for a company. Your duties include implementing updates, handling technical issues (including connectivity issues and VPN setup), performing system administration tasks, documenting changes, preparing reports, and developing new infrastructure as needed. Your responsibilities as a remote systems engineer are to ensure the software system and network connectivity meet the needs of the business environment and provide user support. This is a work from home position that involves coordinating with IT and management.

How does a Remote Systems Engineer typically collaborate with on-site IT teams and other departments?

As a Remote Systems Engineer, you will frequently coordinate with on-site IT staff and cross-functional teams through virtual meetings, project management tools, and shared documentation. Effective communication and clear documentation are crucial, as you may not be physically present to troubleshoot or implement solutions. You can expect to rely heavily on remote access tools and cloud-based platforms to monitor, maintain, and update systems. Building strong relationships with team members and setting clear expectations helps ensure seamless collaboration and project success, even from a distance.

What are the key skills and qualifications needed to thrive as a Remote Systems Engineer, and why are they important?

To thrive as a Remote Systems Engineer, you need a strong background in computer science, systems administration, and network management, often supported by a relevant degree or certifications such as CompTIA Network+ or Microsoft Certified: Azure Administrator. Proficiency with cloud platforms (e.g., AWS, Azure), automation tools (like Ansible or Puppet), and monitoring systems is typically required. Excellent problem-solving, communication, and time-management skills help in collaborating with distributed teams and resolving issues independently. These skills and qualities are crucial for maintaining reliable system operations and ensuring seamless remote support in a distributed work environment.
More about Remote Systems Engineer jobs
What are the most commonly searched types of Systems Engineer jobs in Riverside, CA? The most popular types of Systems Engineer jobs in Riverside, CA are:
What are popular job titles related to Remote Systems Engineer jobs in Riverside, CA? For Remote Systems Engineer jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Remote Systems Engineer jobs in Riverside, CA look for? The top searched job categories for Remote Systems Engineer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Remote Systems Engineer jobs? Cities near Riverside, CA with the most Remote Systems Engineer job openings:
Remote Systems Engineer jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Pomona, CA • Remote

Other

Posted 28 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply