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Reliability Engineer Jobs in Terre Haute, IN (NOW HIRING)

ENTEK

Ancillary Manager

Terre Haute, IN · On-site

$82K - $100K/yr

Facilities Operating Engineer License preferred * Experience supporting large-scale manufacturing or industrial facilities * Experience with preventive maintenance programs and equipment reliability ...

ENTEK International

Ancillary Manager

Terre Haute, IN · On-site

$82K - $100K/yr

Facilities Operating Engineer License preferred * Experience supporting large-scale manufacturing or industrial facilities * Experience with preventive maintenance programs and equipment reliability ...

Endeavor

Full Stack Developer

Cloverdale, IN · On-site

$80 - $100/hr

The Full Stack Software Developer is responsible for designing, building, and maintaining web ... Help ensure application security, performance, and reliability across the stack * Manage source ...

Endeavor IT

Full Stack Developer

Cloverdale, IN · On-site

$80K - $100K/yr

... reliability across the stack • Manage source control, branching, and merge request workflows ... with telecom engineering on real-time communications features • Contribute to internal ...

Great Dane LLC

Manufacturing Engineer

Terre Haute, IN

$69K - $89K/yr

Key Responsibilities Manufacturing Engineer Level I: * Coordinates maintenance and repair services for plan locations. * Follows manufacturer's instructions and established procedures, requesting ...

Iff

Maintenance Technician

Terre Haute, IN · On-site

Collaborate with production, engineering, and reliability teams to improve equipment performance and plant efficiency. * Promote a strong safety culture by following all environmental, health, and ...

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Showing results 21-40

All JobsReliability Engineer JobsReliability Engineer Jobs in Terre Haute, IN

Reliability Engineer information

See Terre Haute, IN salary details

$58K

$112.2K

$134.1K

How much do reliability engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for reliability engineer in Terre Haute, IN is $112,201.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $122,700.00 per year, depending on experience, location, and employer.

What is a reliability engineer?

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 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 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 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 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.

Are reliability engineers in demand?

Reliability engineers are in high demand across industries such as manufacturing, energy, and aerospace due to their role in improving system performance and reducing downtime. Employers seek professionals with skills in data analysis, failure modes, and maintenance strategies, often requiring certifications like Certified Reliability Engineer (CRE). The job outlook is positive, with steady growth expected as companies prioritize operational efficiency and risk management.

How much do reliability engineers get paid?

Reliability engineers typically earn a median annual salary ranging from $70,000 to $110,000, depending on experience, location, and industry. Senior or specialized reliability engineers with certifications and advanced skills can earn higher salaries, often exceeding $120,000 annually.
More about Reliability Engineer jobs

What are the most commonly searched types of Reliability Engineer jobs in Terre Haute, IN?

The most popular types of Reliability Engineer jobs in Terre Haute, IN are:

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For Reliability Engineer jobs in Terre Haute, IN, the most frequently searched job titles are:

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Cities near Terre Haute, IN with the most Reliability Engineer job openings:

Reliability Engineer jobs near you
Infographic showing various Reliability Engineer job openings in Terre Haute, IN as of August 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 100% In-person job distribution, with an average salary of $112,201 per year, or $53.9 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Terre Haute, IN • 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