Systems Engineer Jobs in New Mexico
Systems Engineer jobs in New Mexico are concentrated in Albuquerque, Santa Fe, and Las Cruces, where defense, aerospace, and federal research drive most of the hiring across every seniority level from entry-level to principal engineer. Major employers with a lasting footprint in the state include Sandia National Laboratories, Northrop Grumman, and L3Harris Technologies, all of which maintain long-term systems engineering programs tied to national defense and space systems work. The most in-demand specialties are embedded systems, systems integration, and model-based systems engineering for defense and government programs. Find a role that fits below and apply directly.
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Showing 5 of 86+ Systems Engineer jobs
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.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
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.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
See All 86 Systems Engineer Jobs in New Mexico
Find roles in New Mexico that match your experience and apply in just a few clicks.
Find Systems Engineer JobsSystems Engineer Jobs by City in New Mexico
Where New Mexico roles are concentrated, by current openings.
Systems Engineer Job Market in New Mexico
A snapshot from current New Mexico openings, updated as new roles post.
Who's Hiring
- Sandia National Laboratories16
- Los Alamos National Laboratory9
- Booz Allen Hamilton8
- AeroVironment6
- MTSI3
Top Industries Hiring
- Consulting & Professional Services8
- Aerospace & Defense2
- Technology & Software2
- Manufacturing1
- Transportation & Logistics1
What New Mexico Employers Look For
The qualifications that appear most often in systems engineer jobs across New Mexico.
- Active U.S. security clearance or eligibility for a Secret or Top Secret clearance
- Bachelor's degree in systems engineering, electrical engineering, or a related technical field
- Experience with model-based systems engineering tools such as DOORS or Cameo
- Familiarity with MIL-STD or DoD acquisition standards and systems engineering lifecycle processes
- Proficiency in requirements development, verification, and validation across complex systems
- Experience supporting test and evaluation activities in defense or aerospace program environments
Systems Engineer Jobs in New Mexico: Frequently Asked Questions
How do you become a systems engineer in New Mexico?
Most systems engineer positions in New Mexico require a bachelor's degree in systems engineering, electrical engineering, computer engineering, or a closely related field. New Mexico does not require a state-issued engineering license specifically for systems engineers, though a Professional Engineer license issued through the New Mexico Board of Licensure for Professional Engineers and Professional Surveyors strengthens candidacy for senior roles. Because so many employers are defense contractors, obtaining or being eligible for a security clearance is often as important as the degree itself.
Which companies hire systems engineers in New Mexico?
Employers hiring systems engineers in New Mexico right now include Sandia National Laboratories, Los Alamos National Laboratory, and Booz Allen Hamilton, based on current listings on Migrate Mate as of July 2026. New Mexico's defense and federal research concentration means many of the most active employers are large prime contractors and national laboratory partners with long-term program commitments in the state.
Which New Mexico cities have the most systems engineer jobs?
The cities with the most systems engineer openings in New Mexico are Albuquerque, Las Cruces, and Los Alamos. Albuquerque anchors the market as home to Sandia National Laboratories, Kirtland Air Force Base, and the regional offices of major defense primes, while Las Cruces draws openings connected to White Sands Missile Range and nearby aerospace testing programs.
Are there remote systems engineer jobs in New Mexico?
Yes, but they're less common than in purely software-focused fields, because systems engineering in New Mexico frequently involves classified programs, hardware integration, or on-site testing that requires a physical presence. About 6% of systems engineer openings tied to New Mexico are remote or hybrid as of July 2026, reflecting limited but real flexibility. Requirements-writing, documentation, and architecture work are the sub-functions most likely to offer remote or hybrid arrangements.
How can I get hired as a systems engineer in New Mexico with little or no experience?
The most realistic entry path is a university new-graduate or internship program with a major New Mexico defense employer. Sandia National Laboratories and Northrop Grumman both run structured early-career and co-op programs that recruit directly from the University of New Mexico and New Mexico State University. Adjacent roles like systems analyst, test engineer, or junior integration technician frequently serve as stepping stones. Starting the clearance process early and earning an INCOSE Certified Systems Engineering Professional Associate credential can move an entry-level application ahead of the competition.
Where can I find and apply to systems engineer jobs in New Mexico?
You can find and apply to systems engineer jobs in New Mexico on Migrate Mate, which lists current openings tied to New Mexico employers and programs. Search the listings, find roles that match your background and clearance level, and apply directly to the ones that fit.
See All 86 Systems Engineer Jobs in New Mexico
Find roles in New Mexico that match your experience and apply in just a few clicks.
Find Systems Engineer Jobs