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Remote Systems Engineer Jobs in Rio Rancho, NM (NOW HIRING)

Berriehill Research

Senior AI Systems Engineer

Albuquerque, NM · On-site +1

$95.50K - $130.70K/yr

Experience with simulations for scientific or engineering projects, particularly physical systems ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

Berriehill Research

Senior AI Systems Engineer

Albuquerque, NM · On-site +1

$95.50K - $130.70K/yr

Experience with simulations for scientific or engineering projects, particularly physical systems ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

aui

Software Engineer III - UPDATED

Albuquerque, NM · On-site +1

$53.75 - $72/hr

For well qualified candidates, a remote work arrangement may be considered. What You Will be Doing ... Work with HPC system engineers to tune application performance for specific architectures.

aui

Software Engineer III - UPDATED

Albuquerque, NM · On-site +1

$53.75 - $72/hr

For well qualified candidates, a remote work arrangement may be considered. What You Will be Doing ... Work with HPC system engineers to tune application performance for specific architectures.

Maximus

System Test Engineer

Albuquerque, NM · Remote

This position is remote and requires an active Secret clearance or higher. Maximus TCS (Technology ... various systems tests and results to verify system operability and compliance with project ...

Quora

AI Automation Engineer -Remote

Albuquerque, NM · On-site +1

$202.38K - $234.20K/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 ...

Berriehill Research

Senior AI Technologist

Albuquerque, NM · On-site +1

$50.50 - $65/hr

Bachelor's degree in computer science, Data Engineering, Information Systems, Engineering ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

DataAnnotation

DevOps Engineer

Rio Rancho, NM · Remote

$40 - $75/hr

... systems, while enjoying the flexibility of remote work and setting your own schedule. We are ... other engineers -- who are driving real-world impact in AI development. Our platform offers an ...

DataAnnotation

DevOps Engineer

Albuquerque, NM · Remote

$40 - $75/hr

... systems, while enjoying the flexibility of remote work and setting your own schedule. We are ... other engineers -- who are driving real-world impact in AI development. Our platform offers an ...

DataAnnotation

Software Engineer

Rio Rancho, NM · Remote

$40 - $75/hr

... systems, while enjoying the flexibility of remote work and setting your own schedule. We are ... other engineers -- who are driving real-world impact in AI development. Our platform offers an ...

DataAnnotation

Software Engineer

Albuquerque, NM · Remote

$40 - $75/hr

... systems, while enjoying the flexibility of remote work and setting your own schedule. We are ... other engineers -- who are driving real-world impact in AI development. Our platform offers an ...

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Remote Systems Engineer information

See Rio Rancho, NM salary details

$50.3K

$119.7K

$157.1K

How much do remote systems engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for remote systems engineer in Rio Rancho, NM is $119,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,200.00 and $147,700.00 per year, depending on experience, location, and employer.

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.

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.

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 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.
More about Remote Systems Engineer jobs
What are the most commonly searched types of Systems Engineer jobs in Rio Rancho, NM? The most popular types of Systems Engineer jobs in Rio Rancho, NM are:
What cities near Rio Rancho, NM are hiring for Remote Systems Engineer jobs? Cities near Rio Rancho, NM with the most Remote Systems Engineer job openings:
Remote Systems Engineer jobs near you
Infographic showing various Remote Systems Engineer job openings in Rio Rancho, NM as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $119,659 per year, or $57.5 per hour.

Senior AI Systems Engineer

Berriehill Research

Albuquerque, NM • On-site, Remote

$95.50K - $130.70K/yr

Full-time

Posted 27 days ago

Job description

Essential Functions:

  • Lead the deployment, integration, and operational support of AI platforms, tools, and services, ensuring compatibility with existing systems and enterprise processes.
  • Design, implement, monitor, and optimize AI infrastructure, working with server, cloud, and platform engineering teams.
  • Operationalize machine learning workflows and support AI-enabled applications from development through production deployment and sustainment.
  • Build and maintain CI/CD and MLOps pipelines for model packaging, testing, deployment, rollback, and lifecycle management.
  • Implement infrastructure automation using scripting, Infrastructure as Code, and configuration management practices.
  • Provide ongoing technical support, troubleshooting, root cause analysis, and documentation for AI platforms and user-facing AI services.
  • Maintain observability across AI systems through logging, metrics, performance monitoring, alerting, and incident response practices.
  • Ensure security, compliance, and governance requirements are met, including participation in audits, vulnerability management, and secure architecture reviews.
  • Assess and implement system enhancements to improve performance, scalability, reliability, and cost efficiency.
  • Collaborate across divisions to support diverse AI initiatives and align technical implementations with mission and business objectives.
  • Evaluate emerging AI tools, frameworks, and infrastructure approaches for operational fit, supportability, and long-term value.
  • Develop and maintain technical documentation, runbooks, architecture diagrams, and operational procedures.

Experience and Skills Required:

  • Bachelor’s degree in computer science, Engineering, Information Technology, or a related STEM field with 8-10 years of engineering experience. 
  • 2+ years of experience supporting AI/ML platforms, MLOps workflows, model deployment, or AI-enabled infrastructure.
  • Strong coding and automation skills in Python, Bash, or similar scripting languages.
  • Experience with AI/ML frameworks and tooling such as PyTorch, Hugging Face, or similar ecosystems.
  • Proficiency with DevOps and MLOps practices, including CI/CD pipelines, Git-based workflows, containerization, and Kubernetes.
  • Experience deploying AI/ML models or AI services into operational environments, including containerized, cloud, or high-performance computing environments.
  • Familiarity with security frameworks and compliance standards such as NIST and CMMC.
  • Familiarity with AI security functionality in enterprise environments including OAuth
  • Strong communication skills and the ability to collaborate effectively across technical and non-technical teams.

Preferred:

  • Advanced degree or certifications related to AI or machine learning.
  • Experience integrating AI models into scientific workflows.
  • Familiarity with large language model (LLM) APIs and orchestration frameworks such as OpenAI, Hugging Face, LangGraph, or LangChain.
  • Experience with model serving, inference optimization, or AI platform tools such as MLflow, Kubeflow, vLLM, or similar.
  • Experience with simulations for scientific or engineering projects, particularly physical systems simulations.
  • Experience with GPU-based systems or running AI models in HPC environments.
  • Experience writing and deploying MCP Servers on Kubernetes
  • DoD experience
  • Secret Security Clearance – Active or Inactive

Education:

  • Bachelor’s degree in CS, Software Engineering or other IT-related field or equivalent experience

REMOTE WORK NOTICE: This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be given to candidates located onsite in the Albuquerque, NM and Raleigh, NC area.

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