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Remote Functional Safety Engineer Jobs in Eugene, OR

City of Eugene

Structural Plans Examiner

Eugene, OR · On-site +1

$95K - $129K/yr

Bring your engineering background to public service and help ensure the long-term safety and ... remote work should business need allow. Must reside in the State of Oregon and be able to report ...

micro1 AI

AI Training Specialist - Chemistry

Eugene, OR · Remote

$70 - $90/hr

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... functional collaborations. * Familiarity with quality control protocols, safety standards, and ...

Lane County, OR

Plans Examiner, Senior

OR · On-site +1

$41.73 - $55.74/hr

Regular Remote Employment: Flexible/Hybrid Job Number: 202600172 Department: Public Works Division ... Land Use Planning, Building Safety, Administration, and Code Compliance. The Division provides ...

All JobsFunctional Safety Engineer JobsRemote Functional Safety Engineer JobsRemote Functional Safety Engineer Jobs in Eugene, OR

Remote Functional Safety Engineer information

What are the key skills and qualifications needed to thrive as a remote functional safety engineer, and why are they important?

To thrive as a Remote Functional Safety Engineer, you need expertise in safety standards (like ISO 26262 or IEC 61508), risk analysis, and system engineering, typically supported by an engineering degree. Familiarity with safety analysis tools (such as FMEA, FMEDA, or Fault Tree Analysis software) and certification in functional safety (e.g., TÜV Functional Safety Engineer) are often required. Strong problem-solving, communication, and self-management skills are crucial for collaborating with distributed teams and managing projects remotely. These competencies ensure the development of safe, compliant systems while maintaining effective teamwork and project delivery from a remote environment.

What is a remote functional safety engineer?

Remote functional safety engineers are professionals who ensure that systems, particularly in industries like automotive, aerospace, and manufacturing, operate safely and comply with relevant safety standards—all while working from a remote location. Their main responsibilities include analyzing risks, developing safety requirements, and verifying that products meet safety regulations such as ISO 26262 or IEC 61508. They collaborate with cross-functional teams using digital tools, review design documentation, and may participate in remote audits or assessments. This remote role allows companies to access specialized expertise regardless of geographic location, while engineers benefit from flexible work arrangements.

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

As a remote Functional Safety Engineer, you'll frequently collaborate with design, development, and quality assurance teams through virtual meetings, shared documentation, and specialized safety tools. Effective communication and clear documentation are crucial, as you may be responsible for facilitating safety analyses (such as FMEA or HAZOP) and reviewing verification activities from a distance. Regular syncs, version control systems, and digital project management platforms help ensure that all safety requirements are tracked and met across distributed teams. Being proactive in outreach and maintaining strong relationships with team members are key to overcoming the challenges of remote work in this highly regulated field.

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

AspectRemote Functional Safety EngineerRemote Systems Engineer
CertificationsISO 26262, IEC 61508, safety-specific certificationsIEEE, Cisco, or general systems certifications
Work EnvironmentAutomotive, industrial, or safety-critical sectorsIT, telecommunications, or software development sectors
Industry UsageDesigning safety functions and risk assessmentsSystem design, integration, and performance optimization

The Remote Functional Safety Engineer focuses on ensuring safety standards and risk mitigation in safety-critical systems, often in automotive or industrial sectors. In contrast, the Remote Systems Engineer handles system design and integration across various industries. Both roles require technical expertise but differ in their primary focus on safety versus system performance.

What are popular job titles related to Remote Functional Safety Engineer jobs in Eugene, OR? For Remote Functional Safety Engineer jobs in Eugene, OR, the most frequently searched job titles are:
Remote Functional Safety Engineer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Eugene, OR • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

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