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Remote Hardware Reliability Engineer Jobs in Philadelphia, PA

YO AI Labs

GitHub Contributor - Remote

Philadelphia, PA · Remote

$55 - $160/hr

Refactor and optimize legacy code to improve clarity, efficiency, and long-term reliability ... Deep understanding of algorithms, data structures, and software engineering principles. * Proven ...

Xactus

AI Engineer

Broomall, PA · On-site

... speed, reliability, and accuracy - while also closing more loans more quickly with greater ... Xactus is proud to provide a friendly work environment that is primarily remote. Our workforce ...

YO AI Labs

Personal Trainer - Remote

Philadelphia, PA · Remote

$25 - $40/hr

Remote Job Overview We are seeking experienced Personal Trainers to contribute their professional ... Exercise Programming * Client Engagement * Commitment & Reliability * Attention to Detail Preferred ...

Ztek Consulting INC

Sr. Network Engineer

Philadelphia, PA · Remote

$106K - $145K/yr

Philadelphia, PA or Louisville, KY (Remote) Duration: Contract Looking for this Network Engineer to ... Strong focus on reliability, security, and regulatory compliance will also be ideal. Primary Job ...

Xactus

Senior DevOps Engineer

Broomall, PA · On-site +1

$129K - $166K/yr

... speed, reliability, and accuracy - while also closing more loans more quickly with greater ... Our remote workforce provides many opportunities for you to enhance your skills while maintaining a ...

Xactus

Senior Cloud Engineer

Broomall, PA · Remote

$103K - $142K/yr

... speed, reliability, and accuracy - while also closing more loans more quickly with greater ... Xactus is proud to provide a friendly work environment that is primarily remote. Our workforce ...

Delphinus Engineering

Front-End Engineer

Philadelphia, PA · On-site +1

$75K - $125K/yr

... Remote Monitoring systems. The Front-End Engineer will work with a modern tech stack to build and ... reliability for our Condition Assessment Systems. * Collaborate with a cross-functional team to ...

GFT.

Senior Site/Civil Engineer

Marlton, NJ · On-site +1

$125K - $160K/yr

However for the right candiate, this would be a remote position. Joining the power team at GFT ... Be part of a dynamic group dedicated to enhancing system reliability, sustainability, and ...

BAI

Software Engineer

Philadelphia, PA · On-site +1

$75K - $95K/yr

Participate in efforts to remediate and resolve security, performance, reliability, and scalability ... off, hybrid and remote working models, tuition assistance and the ability to work in a ...

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Showing results 41-60

All JobsHardware Reliability Engineer JobsRemote Hardware Reliability Engineer JobsRemote Hardware Reliability Engineer Jobs in Philadelphia, PA

Remote Hardware Reliability Engineer information

See Philadelphia, PA salary details

$61.6K

$119K

$142.3K

How much do remote hardware reliability engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote hardware reliability engineer in Philadelphia, PA is $119,045.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $130,200.00 per year, depending on experience, location, and employer.

What is a remote hardware reliability engineer?

A Remote Hardware Reliability Engineer is a professional who assesses, tests, and improves the reliability and durability of hardware components and systems, all while working remotely. They analyze failure data, design tests, and recommend modifications to ensure products meet quality and performance standards. This role often involves collaborating with engineering teams using digital communication tools, running simulations, and reviewing data to prevent future hardware failures. By working remotely, these engineers can support projects from anywhere, offering flexibility while maintaining high standards for hardware reliability.

What are the key skills and qualifications needed to thrive as a remote hardware reliability engineer?

To thrive as a Remote Hardware Reliability Engineer, you typically need a degree in electrical or mechanical engineering, strong analytical skills, and experience with hardware testing and failure analysis. Familiarity with reliability testing tools like HALT/HASS, statistical analysis software, and reliability modeling systems is important, along with certifications such as CRE (Certified Reliability Engineer). Outstanding problem-solving abilities, attention to detail, and effective remote communication are crucial soft skills for collaborating with global teams and addressing issues proactively. These competencies ensure the development and maintenance of robust, reliable hardware products, minimizing failures and optimizing performance in diverse environments.

How does a remote hardware reliability engineer collaborate effectively with cross-functional teams while working offsite?

As a Remote Hardware Reliability Engineer, effective collaboration with cross-functional teams—such as design, manufacturing, and quality assurance—is typically achieved through regular virtual meetings, collaborative platforms, and detailed documentation. You’ll often participate in remote design reviews, data analysis sessions, and troubleshooting calls to address reliability concerns. Clear communication and proactive project updates are essential to ensure everyone is aligned, especially when working across different time zones or locations. Building strong relationships with team members via consistent online interaction helps maintain project momentum and ensures reliability standards are met.

What is the difference between Remote Hardware Reliability Engineer vs Remote Hardware Test Engineer?

AspectRemote Hardware Reliability EngineerRemote Hardware Test Engineer
CredentialsEngineering degree, certifications in reliability or hardware engineeringEngineering degree, certifications in testing or quality assurance
Work EnvironmentDesigning reliability strategies, analyzing failure data, improving hardware durabilityDeveloping and executing testing procedures, validating hardware performance
Industry UsageManufacturers, tech companies, aerospace, automotiveManufacturers, consumer electronics, hardware development firms

While both roles focus on hardware, the Remote Hardware Reliability Engineer emphasizes ensuring long-term durability and reliability through analysis and design improvements. In contrast, the Remote Hardware Test Engineer concentrates on testing hardware components to verify performance and quality before deployment.

What are popular job titles related to Remote Hardware Reliability Engineer jobs in Philadelphia, PA?

For Remote Hardware Reliability Engineer jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Remote Hardware Reliability Engineer jobs in Philadelphia, PA look for?

The top searched job categories for Remote Hardware Reliability Engineer jobs in Philadelphia, PA are:

Remote Hardware Reliability Engineer jobs near you
Infographic showing various Remote Hardware Reliability Engineer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $119,045 per year, or $57.2 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Philadelphia, PA • Remote

Full-time

Re-posted 13 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