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Remote Robotic Simulation Engineer Jobs in New Mexico

Berriehill Research

Senior AI Systems Engineer

Albuquerque, NM · On-site +1

$95K - $130K/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 ...

Siemens

$18 - $50/hr

... simulation- helping innovative global manufacturers design better products, faster! With the ... Remote Perks: * Potential for full-time offers after university graduation and completion of the ...

Siemens

$18 - $50/hr

... simulation- helping innovative global manufacturers design better products, faster! With the ... Remote Perks: * Potential for full-time offers after university graduation and completion of the ...

Siemens

$18 - $50/hr

... simulation- helping innovative global manufacturers design better products, faster! With the ... Remote Perks: * Potential for full-time offers after university graduation and completion of the ...

Siemens

$18 - $50/hr

... simulation- helping innovative global manufacturers design better products, faster! With the ... Remote Perks: * Potential for full-time offers after university graduation and completion of the ...

Siemens

$18 - $50/hr

... simulation- helping innovative global manufacturers design better products, faster! With the ... Remote Perks: * Potential for full-time offers after university graduation and completion of the ...

Siemens

... simulation- helping innovative global manufacturers design better products, faster! With the ... Remote Perks: * Potential for full-time offers after university graduation and completion of the ...

Siemens

... simulation- helping innovative global manufacturers design better products, faster! With the ... Remote Perks: * Potential for full-time offers after university graduation and completion of the ...

Siemens

... simulation- helping innovative global manufacturers design better products, faster! With the ... Remote Perks: * Potential for full-time offers after university graduation and completion of the ...

Siemens

... simulation- helping innovative global manufacturers design better products, faster! With the ... Remote Perks: * Potential for full-time offers after university graduation and completion of the ...

Siemens

... simulation- helping innovative global manufacturers design better products, faster! With the ... Remote Perks: * Potential for full-time offers after university graduation and completion of the ...

Siemens

$18 - $50/hr

... simulation- helping innovative global manufacturers design better products, faster! With the ... Remote Perks: * Potential for full-time offers after university graduation and completion of the ...

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All JobsRobotic Simulation Engineer JobsRemote Robotic Simulation Engineer JobsRemote Robotic Simulation Engineer Jobs in New Mexico

Remote Robotic Simulation Engineer information

How does a Remote Robotic Simulation Engineer typically collaborate with cross-functional teams during project development?

As a Remote Robotic Simulation Engineer, you will work closely with mechanical, electrical, and software engineering teams to ensure accurate virtual representations of robotic systems. Collaboration often involves regular video meetings, shared simulation files, and joint troubleshooting sessions to validate robotic behaviors before deployment. Clear communication skills and familiarity with collaborative platforms are essential, as feedback and updates are exchanged frequently to meet project milestones. This remote structure allows for flexible work arrangements but also demands proactive engagement to stay aligned with team goals.

What is a Remote Robotic Simulation Engineer?

A Remote Robotic Simulation Engineer is a professional who designs, develops, and tests virtual models of robotic systems using simulation software, often while working from a remote location. Their work helps predict and improve the performance of robots before they are physically built, reducing costs and development time. These engineers collaborate with multidisciplinary teams to refine robot behaviors in simulated environments and may also troubleshoot or optimize robot algorithms. The role often requires strong skills in robotics, computer programming, and simulation tools like ROS, Gazebo, or MATLAB. Working remotely, they leverage digital communication tools to stay connected with their teams and projects.

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

To thrive as a Remote Robotic Simulation Engineer, you need a solid background in robotics, computer science, and engineering, often supported by a bachelor’s or master’s degree in a related field. Proficiency with simulation software such as Gazebo or ROS, familiarity with programming languages like Python or C++, and experience with 3D modeling tools are typically required. Strong problem-solving abilities, communication skills, and self-motivation are crucial for excelling in remote and collaborative environments. These skills ensure precise development, effective troubleshooting, and successful integration of robotic systems in virtual settings.

What is the difference between Remote Robotic Simulation Engineer vs Remote Robotics Software Developer?

AspectRemote Robotic Simulation EngineerRemote Robotics Software Developer
CredentialsBachelor's or higher in Robotics, Mechanical, or Electrical Engineering; experience with simulation toolsBachelor's or higher in Computer Science, Robotics, or related field; programming skills
Work EnvironmentPrimarily uses simulation platforms like Gazebo, V-REP; collaborates with engineers and researchersFocuses on developing robotics software, algorithms, and control systems; often involves coding and testing
Industry UsageCommon in research, testing, and validation of robotic systemsUsed in software development for robotics applications, automation, and product deployment

The main difference is that Remote Robotic Simulation Engineers focus on creating and testing virtual models of robots using simulation tools, while Remote Robotics Software Developers primarily write and optimize software for robotic systems. Both roles require programming skills and industry knowledge but serve different stages of robotic development.

What are the most commonly searched types of Robotic Simulation Engineer jobs in New Mexico? The most popular types of Robotic Simulation Engineer jobs in New Mexico are:
What are popular job titles related to Remote Robotic Simulation Engineer jobs in New Mexico? For Remote Robotic Simulation Engineer jobs in New Mexico, the most frequently searched job titles are:
What job categories do people searching Remote Robotic Simulation Engineer jobs in New Mexico look for? The top searched job categories for Remote Robotic Simulation Engineer jobs in New Mexico are:
What cities in New Mexico are hiring for Remote Robotic Simulation Engineer jobs? Cities in New Mexico with the most Remote Robotic Simulation Engineer job openings:
Remote Robotic Simulation Engineer jobs near you
Infographic showing various Remote Robotic Simulation Engineer job openings in New Mexico as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Senior AI Systems Engineer

Berriehill Research

Albuquerque, NM • On-site, Remote

$95K - $130K/yr

Full-time

Posted 23 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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