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Reliability Engineer Jobs in Wyoming (NOW HIRING)

Solvay

Project Engineer (F/M/X)

Green River, WY

$80K - $113K/yr

The Project Engineers primary role is the development and execution of a wide range of capital ... Operational Reliability & Safety : Maintain deep expertise in Safety Life Saving Rules and provide ...

Solvay

Project Engineer (F/M/X)

Green River, WY · On-site

$80K - $113K/yr

The Project Engineers primary role is the development and execution of a wide range of capital ... Operational Reliability & Safety : Maintain deep expertise in Safety Life Saving Rules and provide ...

ABB

Protection and Control Engineer

Cheyenne, WY · Remote

As a Protection & Control Engineer, you will have the opportunity to act as the technical lead for ... ABB's Service Division partners with our customers to improve the availability, reliability ...

Polaris, Inc.

$90K - $115K/yr

As a Sr. Supplier Development Engineer, you will strengthen the performance and reliability of our global supply base by working directly with suppliers to resolve quality issues and drive systemic ...

Gordon Food Service

$146K - $192K/yr

Are you a seasoned engineer who loves building cloud-native applications from the ground up? The ... Performs integrated testing of systems for accuracy, reliability and optimal performance

Polaris, Inc.

$90K - $116K/yr

This is an excellent opportunity to influence the quality and reliability of new Polaris products ... Review engineering prints for manufacturing feasibility and coverage of commodity-specific ...

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All JobsReliability Engineer JobsReliability Engineer Jobs in Wyoming

Reliability Engineer information

See Wyoming salary details

$58.6K

$113.4K

$135.5K

How much do reliability engineer jobs pay per year?

As of Jul 21, 2026, the average yearly pay for reliability engineer in Wyoming is $113,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $124,000.00 per year, depending on experience, location, and employer.

What are some typical challenges Reliability Engineers face when implementing preventive maintenance strategies?

Reliability Engineers often encounter challenges such as balancing preventive maintenance schedules with production demands, ensuring buy-in from operations teams, and accurately predicting equipment failures. They must analyze large sets of historical data to identify trends and root causes, which can be complex in facilities with diverse machinery. Collaboration with maintenance, operations, and engineering teams is essential to develop effective strategies that minimize downtime while optimizing resources.

What does a reliability engineer do?

A reliability engineer is responsible for ensuring that systems, equipment, or products perform consistently and without failure over time. They analyze failure data, develop maintenance strategies, and implement improvements using tools like FMEA and root cause analysis to enhance reliability and reduce downtime.

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

To thrive as a Reliability Engineer, you need a solid background in engineering principles, failure analysis, and reliability modeling, typically with a degree in engineering or a related field. Familiarity with tools such as FMEA, Root Cause Analysis (RCA), reliability-centered maintenance (RCM) software, and certifications like Certified Reliability Engineer (CRE) are highly valued. Strong problem-solving abilities, attention to detail, and effective communication are crucial soft skills in this role. These skills ensure systems are dependable, downtime is minimized, and organizational performance and safety are optimized.

What is the difference between Reliability Engineer vs Maintenance Engineer?

AspectReliability EngineerMaintenance Engineer
CredentialsTypically requires engineering degree, certifications in reliability or asset managementOften requires engineering or technical diploma, certifications in maintenance or equipment repair
Work EnvironmentFocuses on analysis, design, and improvement of systems for reliabilityHands-on maintenance, repair, and troubleshooting of equipment
Industry UsageCommon in manufacturing, energy, aerospace, and industrial sectorsPrevalent in manufacturing, facilities, and industrial plants

Reliability Engineers focus on designing and improving systems to prevent failures, using data analysis and modeling. Maintenance Engineers perform hands-on repairs and upkeep of equipment to ensure operational continuity. While both roles aim to optimize equipment performance, Reliability Engineers work proactively on system reliability, whereas Maintenance Engineers handle reactive and scheduled maintenance tasks.

What engineers make $500,000 a year?

Highly experienced engineers in specialized fields such as petroleum engineering, aerospace engineering, or senior software engineering roles can earn $500,000 or more annually, often including bonuses and stock options. These positions typically require advanced skills, extensive experience, and often involve leadership or executive responsibilities.

Will SRE be replaced by ai?

Reliability Engineers (SREs) focus on maintaining system availability and performance, and AI tools are increasingly used to automate monitoring, incident response, and data analysis. While AI can augment SRE tasks, it is unlikely to fully replace the need for human expertise in designing, managing, and improving complex systems. SREs will continue to adapt by integrating AI technologies into their workflows to enhance reliability efforts.

What Does a Reliability Engineer Do?

As a reliability engineer, your duties are to test and evaluate the manufacturing of products and components and ensure that the procedures are efficient and do not lead to abnormally high maintenance or operational costs. Your other responsibilities are to find solutions to product reliability risks. You may manage risk in a supply chain, develop loss prevention strategies, and track the entire lifecycle of product development, from building prototypes to moving a product into full-scale production. You analyze information from department heads and recommend strategies to reduce risk and ensure that the product works reliably.

What are Reliability Engineers?

Reliability Engineers are professionals responsible for ensuring that systems, equipment, or processes function consistently and efficiently over time. They analyze data, identify potential points of failure, and develop maintenance strategies to improve system reliability and minimize downtime. Their work spans various industries, including manufacturing, energy, and technology, and often involves collaborating with design, operations, and maintenance teams. By implementing reliability-centered maintenance and predictive analysis, they help organizations save costs and increase safety.

What is the role of a reliability engineer?

A reliability engineer is responsible for ensuring that systems, equipment, or products perform consistently and dependably over time. They analyze failure data, develop maintenance strategies, and implement improvements to enhance reliability, often using tools like FMEA and root cause analysis. This role typically requires strong problem-solving skills and knowledge of engineering principles.
More about Reliability Engineer jobs
What are the most commonly searched types of Reliability Engineer jobs in Wyoming? The most popular types of Reliability Engineer jobs in Wyoming are:
What are popular job titles related to Reliability Engineer jobs in Wyoming? For Reliability Engineer jobs in Wyoming, the most frequently searched job titles are:
What are popular job titles related to Reliability Engineer jobs in WY? For Reliability Engineer jobs in WY, the most frequently searched job titles are:
Reliability Engineer jobs near you
Infographic showing various Reliability Engineer job openings in Wyoming as of July 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $113,398 per year, or $54.5 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Rock Springs, WY • On-site

Other

Re-posted 29 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