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Remote Biomedical Signal Processing Engineer Jobs in Albuquerque, NM

Berriehill Research

Senior AI Systems Engineer

Albuquerque, NM · On-site +1

$95K - $130K/yr

... existing systems and enterprise processes. * Design, implement, monitor, and optimize AI ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

Booz Allen Hamilton, Inc.

Data Engineer

Albuquerque, NM · On-site +1

$111K - $133K/yr

Remote Work: No Job Number: R0237241 Location: Albuquerque,NM,US Share job via: Share Data Engineer ... Identify, design, and implement internal process improvements, including automating manual ...

Booz Allen Hamilton, Inc.

Systems Engineer

Albuquerque, NM · On-site +1

$86K - $198K/yr

Remote Work: Hybrid Job Number: R0246780 Location: Albuquerque,NM,US Share job via: Share Systems ... Identify, analyze, and evaluate complex or highly sensitive systems, policies, and processes ...

Lochner

Senior Airport Design Engineer

Albuquerque, NM · On-site +1

$97K - $133K/yr

... remote opportunities where business needs allow • Life insurance and disability coverage ... As part of our commitment to an open and equitable hiring process, we've included the anticipated ...

Berriehill Research

Senior AI Technologist

Albuquerque, NM · On-site +1

$50.50 - $65/hr

... engineering experience * 3+ years of experience supporting AI, natural language processing, RAG ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

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Showing results 21-40

All JobsBiomedical Signal Processing Engineer JobsRemote Biomedical Signal Processing Engineer JobsRemote Biomedical Signal Processing Engineer Jobs in Albuquerque, NM

Remote Biomedical Signal Processing Engineer information

See Albuquerque, NM salary details

$51.9K

$127.3K

$187.6K

How much do remote biomedical signal processing engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote biomedical signal processing engineer in Albuquerque, NM is $127,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,200.00 and $143,000.00 per year, depending on experience, location, and employer.

What does a remote biomedical signal processing engineer do?

A Remote Biomedical Signal Processing Engineer analyzes and interprets physiological signals—such as ECG, EEG, or EMG—using advanced computational and mathematical methods. They work remotely to develop algorithms and software that aid in medical diagnostics, patient monitoring, and healthcare research. Their role often involves cleaning, filtering, and extracting meaningful information from complex biological data to support clinical decisions or scientific studies. Collaboration with medical professionals and teams is common, and strong knowledge of signal processing, biomedical engineering, and programming is essential.

What are the key skills and qualifications needed to thrive as a remote biomedical signal processing engineer?

To thrive as a Remote Biomedical Signal Processing Engineer, you need expertise in signal processing, biomedical engineering, and a strong background in mathematics and statistics, usually supported by a relevant degree. Familiarity with tools like MATLAB, Python (NumPy, SciPy), and experience with medical device data protocols and regulatory standards are commonly required. Strong problem-solving, self-motivation, and clear communication skills help you work effectively in a remote, interdisciplinary environment. These abilities are crucial for developing accurate, regulatory-compliant solutions that improve healthcare outcomes while collaborating remotely with diverse teams.

What are some typical challenges faced by remote biomedical signal processing engineers, and how can they be addressed?

Remote Biomedical Signal Processing Engineers often face challenges related to collaborating with interdisciplinary teams, ensuring data security, and accessing necessary hardware for testing algorithms. To overcome these, it's important to establish clear communication channels with colleagues, make use of secure data transfer protocols, and leverage remote access to lab equipment or simulators when possible. Regular virtual meetings and documentation can help maintain alignment with project goals and facilitate effective teamwork.

What is the difference between Remote Biomedical Signal Processing Engineer vs Remote Medical Data Analyst?

AspectRemote Biomedical Signal Processing EngineerRemote Medical Data Analyst
Required CredentialsBachelor's or Master's in Biomedical Engineering, Electrical Engineering, or related fields; knowledge of signal processingBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentResearch labs, healthcare tech companies, hospitals; focus on signal dataHealthcare organizations, research institutions; focus on large datasets
Employer & Industry UsageMedical device companies, biotech firms, hospitalsHealthcare providers, research organizations, health tech startups

While both roles involve working with healthcare data, Remote Biomedical Signal Processing Engineers focus on analyzing and developing algorithms for biomedical signals like ECG or EEG. Remote Medical Data Analysts interpret large health datasets to derive insights. The roles differ mainly in technical focus and data types but often collaborate within healthcare tech environments.

What are popular job titles related to Remote Biomedical Signal Processing Engineer jobs in Albuquerque, NM?

For Remote Biomedical Signal Processing Engineer jobs in Albuquerque, NM, the most frequently searched job titles are:

What job categories do people searching Remote Biomedical Signal Processing Engineer jobs in Albuquerque, NM look for?

The top searched job categories for Remote Biomedical Signal Processing Engineer jobs in Albuquerque, NM are:

Remote Biomedical Signal Processing Engineer jobs near you
Infographic showing various Remote Biomedical Signal Processing Engineer job openings in Albuquerque, NM as of August 2026, with employment types broken down into 80% Full Time, 15% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $127,320 per year, or $61.2 per hour.

Senior AI Systems Engineer

Berriehill Research

Albuquerque, NM • On-site, Remote

$95K - $130K/yr

Full-time

Re-posted 19 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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