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Remote System Safety Engineer Jobs in Frederick, MD

Leidos

Lead DevSecOps Engineer

Gaithersburg, MD · Remote

$110K - $145K/yr

... systems. This work aligns with the FAA's broader initiative to modernize legacy flight service ... improve safety and operational efficiency-particularly in remote and high-dependency aviation ...

Anika Systems

AI Engineer

Leesburg, VA · Remote

Anika Systems is an outcome-driven technology solutions firm that guides federal agencies in ... This position is currently remote; however, in accordance with federal contract requirements and ...

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All JobsSystem Safety Engineer JobsRemote System Safety Engineer JobsRemote System Safety Engineer Jobs in Frederick, MD

Remote System Safety Engineer information

See Frederick, MD salary details

$33

$66

$85

How much do remote system safety engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for remote system safety engineer in Frederick, MD is $66.50, according to ZipRecruiter salary data. Most workers in this role earn between $54.04 and $78.65 per hour, depending on experience, location, and employer.

What is a remote system safety engineer?

A Remote System Safety Engineer is a professional responsible for analyzing, assessing, and mitigating safety risks associated with complex systems, such as those used in aerospace, automotive, or industrial applications, while working remotely. Their duties typically include conducting hazard analyses, developing safety cases, ensuring compliance with safety standards, and collaborating with multidisciplinary teams online. By working remotely, they leverage digital tools and communication platforms to perform safety assessments, document findings, and support project teams from various locations. This role is critical in ensuring that systems are designed and maintained to operate safely, even as teams work from different geographical areas.

What are the key skills and qualifications needed to thrive as a remote system safety engineer?

To thrive as a Remote System Safety Engineer, you need a strong background in systems engineering, risk assessment, and safety standards, often supported by a degree in engineering or a related field. Familiarity with safety analysis tools (such as FMEA, FTA), safety-critical software, and certifications like CISSP or relevant safety engineering credentials is typically required. Excellent problem-solving, attention to detail, and effective remote communication distinguish top performers in this role. These skills ensure the reliable identification and mitigation of safety risks in complex systems, especially when collaborating remotely across teams.

How does a remote system safety engineer typically collaborate with cross-functional teams to ensure system safety standards are met?

As a Remote System Safety Engineer, you'll regularly coordinate with design, hardware, software, and quality assurance teams—often through virtual meetings and collaborative platforms. You'll review design documents, participate in risk assessments, and provide safety recommendations to ensure compliance with industry standards. Effective communication and documentation are key, as you'll need to relay safety requirements and findings clearly to both technical and non-technical stakeholders. Despite working remotely, you'll be an integral part of the team, contributing to project milestones and audits.

What is the difference between Remote System Safety Engineer vs Remote Systems Engineer?

AspectRemote System Safety EngineerRemote Systems Engineer
Required CertificationsSafety certifications (e.g., ISO 26262, IEC 61508)Networking, hardware, or software certifications
Work EnvironmentFocus on safety protocols, risk assessments, complianceDesign, develop, and maintain system architectures
Industry UsageAutomotive, aerospace, industrial systemsIT, telecommunications, software development
Common Search IntentSafety standards, risk management, complianceSystem design, integration, performance

The Remote System Safety Engineer primarily focuses on ensuring safety standards and risk mitigation in complex systems, often working within regulated industries. In contrast, the Remote Systems Engineer concentrates on designing and maintaining system functionalities. While both roles require technical expertise, their core responsibilities and certifications differ significantly.

What job categories do people searching Remote System Safety Engineer jobs in Frederick, MD look for?

The top searched job categories for Remote System Safety Engineer jobs in Frederick, MD are:

What cities near Frederick, MD are hiring for Remote System Safety Engineer jobs?

Cities near Frederick, MD with the most Remote System Safety Engineer job openings:

Remote System Safety Engineer jobs near you
Infographic showing various Remote System Safety Engineer job openings in Frederick, MD as of June 2026, with employment types broken down into 83% Full Time, 3% Part Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $138,324 per year, or $66.5 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Hagerstown, MD • Remote

Full-time

Re-posted 15 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