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Ai Reliability Engineer Jobs in Pennsylvania (NOW HIRING)

Nokia

Reliability Engineer

Allentown, PA · On-site

$88K - $163K/yr

As a Reliability Engineer at Nokia's Allentown facility, you will collaborate with a dynamic team ... Utilize statistical analysis and AI tools for data evaluation and tool development. * Interface ...

Amphenol TCS

Reliability Engineer

Yocumtown, PA · On-site

$98K - $123K/yr

Position : Reliability Engineer Location : Etters, PA RESPONSIBILITIES : Test, Validation ... Develop and execute reliability and qualification test plans specific to AI-scale cable assemblies ...

Nokia

Reliability Engineer

Allentown, PA · On-site

$101K - $127K/yr

As a Reliability Engineer at Nokia's Allentown facility, you will collaborate with a dynamic team ... AI in data analysis. Enjoy a collaborative atmosphere that values your insights and fosters ...

Amphenol TCS

Reliability Engineer

Yocumtown, PA · On-site

$98K - $123K/yr

Position : Reliability Engineer Location : Etters, PA RESPONSIBILITIES : Test, Validation ... Develop and execute reliability and qualification test plans specific to AI-scale cable assemblies ...

CardWorks

Lead, Site Reliability Engineer

Pittsburgh, PA · On-site

$55.25 - $73.50/hr

They are seeking a Lead Site Reliability Engineer to establish and operationalize the SRE operating model, focusing on improving service reliability and integrating AI-enabled solutions into their ...

Proscia

Reliability Engineer

Philadelphia, PA

$98K - $123K/yr

As a leader in pathology AI software, we are empowering pathologists and scientists to transition ... About This Position As a Reliability Engineer reporting to the VP, Technical Operations, you will ...

Proscia

Reliability Engineer

Philadelphia, PA · On-site

$98K - $123K/yr

As a leader in pathology AI software, we are empowering pathologists and scientists to transition ... About This Position As a Reliability Engineer reporting to the VP, Technical Operations, you will ...

Proscia

Reliability Engineer

Philadelphia, PA · On-site

$98K - $123K/yr

As a leader in pathology AI software, we are empowering pathologists and scientists to transition ... About This Position As a Reliability Engineer reporting to the VP, Technical Operations, you will ...

Carlisle Companies, Inc.

Reliability Engineer

Carlisle, PA · On-site

$99K - $125K/yr

The Maintenance Reliability Engineer will serve as a key technical resource between plant ... Use industry 4.0 technology/AI to monitor and predict potential failure. * Analyze work order (WO ...

RIT Solutions, Inc.

Expert SRE UI Engineer

Malvern, PA · On-site

$56 - $74.25/hr

The role involves leading SRE initiatives, architecting resiliency solutions, and integrating AI capabilities into user interfaces. Responsibilities : • Join Personal Investor Technologies Site ...

CARLISLE COMPANIES

Reliability Engineer

Carlisle, PA

$99K - $125K/yr

The Maintenance Reliability Engineer will serve as a key technical resource between plant ... Use industry 4.0 technology/AI to monitor and predict potential failure. * Analyze work order (WO ...

Latitude AI

Senior Site Reliability Engineer

Pittsburgh, PA · On-site

$179K - $268K/yr

Latitude AI (lat.ai) is building the future of Ford's autonomy roadmap to make travel safer, less ... As a Site Reliability Engineer on the team, you will be responsible for helping to build and run ...

Latitude AI

Senior Site Reliability Engineer

Pittsburgh, PA · On-site

$179K - $268K/yr

Latitude AI (lat.ai) is building the future of Ford's autonomy roadmap to make travel safer, less ... As a Site Reliability Engineer on the team, you will be responsible for helping to build and run ...

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Ai Reliability Engineer information

What is an AI reliability engineer?

AI Reliability Engineers are professionals responsible for ensuring that artificial intelligence systems function reliably, safely, and effectively over time. They work on monitoring AI models in production, identifying and mitigating potential failures, and improving the robustness of AI systems. Their tasks often include testing, validation, performance monitoring, and implementing best practices for maintaining AI infrastructure. By focusing on reliability, they help organizations deploy AI solutions that are dependable and trustworthy in real-world environments.

What are some common challenges AI reliability engineers face when ensuring model robustness in production environments?

Ai Reliability Engineers often encounter challenges such as monitoring AI model performance for drift or unexpected behavior, managing data quality issues, and implementing automated alerting systems for anomalies. In production, it's crucial to ensure that AI models operate consistently and remain reliable under varying conditions and data inputs. Collaborating closely with data scientists, software engineers, and DevOps teams is essential to address these challenges and to continuously improve model reliability and uptime.

What are the key skills and qualifications needed to thrive as an AI reliability engineer, and why are they important?

To thrive as an AI Reliability Engineer, you need a solid background in computer science or engineering, expertise in AI/ML concepts, and experience with software testing and reliability methodologies. Familiarity with tools like TensorFlow, PyTorch, CI/CD pipelines, and reliability testing frameworks, along with certifications in cloud platforms (e.g., AWS Certified Machine Learning), is highly valuable. Analytical thinking, problem-solving abilities, and strong collaboration skills set top performers apart in this role. These skills ensure robust, dependable AI systems that meet performance standards and maintain trust in critical applications.

What is the difference between Ai Reliability Engineer vs Data Scientist?

AspectAi Reliability EngineerData Scientist
Required CredentialsBachelor's or master's in CS, engineering, or related; certifications in AI/MLBachelor's or master's in CS, statistics, or related; certifications in data analysis or ML
Work EnvironmentTech companies, AI-focused teams, engineering departmentsResearch labs, tech firms, analytics teams
Employer & Industry UsageAI product development, machine learning systems, reliability testingData analysis, predictive modeling, business insights

While both roles involve AI and ML, Ai Reliability Engineers focus on ensuring AI system robustness and uptime, whereas Data Scientists analyze data to generate insights and models. The roles often collaborate but serve different primary functions within AI projects.

What are popular job titles related to Ai Reliability Engineer jobs in Pennsylvania?

For Ai Reliability Engineer jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Ai Reliability Engineer jobs in Pennsylvania look for?

The top searched job categories for Ai Reliability Engineer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Ai Reliability Engineer jobs?

Cities in Pennsylvania with the most Ai Reliability Engineer job openings:

Ai Reliability Engineer jobs near you
Infographic showing various Ai Reliability Engineer job openings in Pennsylvania as of August 2026, with employment types broken down into 73% Full Time, 25% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Reliability Engineer

Allentown, PA • On-site

Nokia
Media and Telecom • 10K+ employees

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

30th of 101 rated telecommunications companies

People enjoy working here

Good employer

Good training

Learn more about Nokiaexternal

$88K - $163K/yr

Full-time

Posted 26 days ago

Job description


As a Reliability Engineer at Nokia's Allentown facility, you will collaborate with a dynamic team of Product Engineers, Test Engineers, and Manufacturing Operations, all passionate about innovation in optical communication. Your work environment is supportive and collaborative, encouraging cross-functional teamwork to drive product excellence. You will thrive in a data-driven culture, employing your analytical skills to influence product reliability decisions and contribute to continuous improvement initiatives. Benefits include a structured career progression pathway, exposure to cutting-edge technology like the Infinite Capacity Engine, and opportunities to leverage AI in data analysis. Enjoy a collaborative atmosphere that values your insights and fosters professional growth in a leading-edge industry.
Responsibilities
Drive reliability qualification and production monitoring for optical communication products.
  • Track qualification lots through reliability stress testing and manage milestone completion.

  • Analyze reliability test results and generate insights to enhance product quality.

  • Collaborate with cross-functional teams to investigate failures and implement corrective actions.

  • Maintain dashboards and reports to communicate qualification status and performance metrics.

  • Support New Product Introduction (NPI) with reliability analysis and best practice recommendations.

  • Utilize statistical analysis and AI tools for data evaluation and tool development.

  • Interface professionally with team members at all levels of the organization.

Qualifications
Must-Have:
  • BS Degree in science or engineering (Electrical, Mechanical, Physics, Materials Science, or related)

  • 2+ years of experience in manufacturing, quality, reliability, or product engineering

  • Strong analytical skills with the ability to interpret large datasets

  • Familiarity with SQL and statistical processing software (e.g., JMP/JSL, Minitab)

  • Experience creating detailed reports and engineering documentation

Nice-To-Have:
  • 5+ years of experience in manufacturing, reliability, or quality engineering

  • 2+ years of familiarity with optical telecommunications terminology and test methodologies

  • Knowledge of reliability testing methodologies and industry standards (e.g., Telcordia, JEDEC)

What Nokia employees say

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