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Remote Full Stack Developer Jobs in Pennsylvania

Sr. Innovation Software Engineer

Pittsburgh, PA ยท On-site +1

$118.90K - $156.80K/yr

This role requires strong hands-on full-stack engineering skills, experience building AI integrated ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Seeking a mid-level Full Stack Application Developer to support enterprise Supply Chain and ... Pittsburgh, PA (Hybrid Remote - onsite a minimum of 3 days per week) Duration: 7 months Pay rate ...

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Remote Full Stack Developer information

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$24

$59

$86

How much do remote full stack developer jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote full stack developer in Pennsylvania is $59.40, according to ZipRecruiter salary data. Most workers in this role earn between $49.38 and $68.41 per hour, depending on experience, location, and employer.

What Does a Remote Full Stack Developer Do?

As a remote full stack developer, you work from home to create back-end and front-end code for software, websites, and other technology applications. Your responsibilities include developing website architecture, helping to create a website application, developing and designing APIs, and ensuring that applications have the right level of responsiveness. Common duties associated with this job include working on a database or server to ensure functionality, creating web design features by working with graphic designers, helping to transform a concept into a finished product, and staying updated with the latest programming languages and web applications.

What are the key skills and qualifications needed to thrive as a Remote Full Stack Developer, and why are they important?

To thrive as a Remote Full Stack Developer, you need strong proficiency in both front-end and back-end programming languages (such as JavaScript, Python, or Java), web frameworks, and a solid understanding of database management. Familiarity with version control systems (like Git), cloud platforms, and CI/CD pipelines is typically required, along with relevant certifications such as AWS Certified Developer or Microsoft Azure certifications. Excellent communication, self-motivation, and time management skills are essential for collaborating across distributed teams and managing independent workloads. These competencies enable developers to build robust, scalable applications efficiently while maintaining productivity and effective teamwork in a remote environment.

How do Remote Full Stack Developers typically collaborate with team members across different time zones?

Remote Full Stack Developers often work with colleagues located around the globe, making strong communication skills and adaptability essential. Teams usually rely on collaboration tools like Slack, Jira, and GitHub to track progress, discuss features, and conduct code reviews asynchronously. Regular virtual meetings are scheduled to accommodate time zone differences, and clear documentation helps ensure everyone stays aligned. Successful developers in this environment are proactive about providing updates and clarifying requirements to keep projects on track.

What is a Remote Full Stack Developer?

A Remote Full Stack Developer is a software professional who works from a location outside of a traditional office, building and maintaining both the front-end (client-side) and back-end (server-side) components of web applications. They are skilled in a variety of programming languages and frameworks, enabling them to handle the full technology stack required for web development. Working remotely, they collaborate with teams using digital tools, manage code repositories, and often participate in virtual meetings to ensure project goals are met efficiently.

What is the difference between Remote Full Stack Developer vs Remote Front End Developer?

AspectRemote Full Stack DeveloperRemote Front End Developer
Required SkillsProficiency in both front-end and back-end technologies (e.g., JavaScript, HTML, CSS, Node.js, databases)Specialized in front-end technologies (e.g., HTML, CSS, JavaScript, frameworks like React or Angular)
Work EnvironmentTypically handles both client-side and server-side tasks, often in full project cyclesFocuses on user interface and experience, collaborating closely with designers and back-end developers
Common UsageUsed across startups, tech companies, and agencies requiring versatile developersPopular in UI/UX design firms, front-end agencies, and companies emphasizing user experience

The main difference is that a Remote Full Stack Developer manages both front-end and back-end development, offering a broader skill set, while a Remote Front End Developer specializes in creating engaging user interfaces. Your choice depends on whether you prefer a full-spectrum development role or a focus on user-facing features.

What are the most commonly searched types of Full Stack Developer jobs in Pennsylvania? The most popular types of Full Stack Developer jobs in Pennsylvania are:
What are popular job titles related to Remote Full Stack Developer jobs in Pennsylvania? For Remote Full Stack Developer jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Remote Full Stack Developer jobs in Pennsylvania look for? The top searched job categories for Remote Full Stack Developer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Remote Full Stack Developer jobs? Cities in Pennsylvania with the most Remote Full Stack Developer job openings:
Infographic showing various Remote Full Stack Developer job openings in Pennsylvania as of May 2026, with employment types broken down into 33% Full Time, 42% Part Time, 8% Temporary, and 17% Contract. Highlights an 93% Physical, and 7% Remote job distribution, with an average salary of $123,558 per year, or $59.4 per hour.

Staff Software Engineer, ML Acceleration

Stack AV

Pittsburgh, PA โ€ข On-site, Remote

Full-time

Posted 16 days ago


Job description

About Stack:
Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.
About the Role:
The ML Training Acceleration team is dedicated to increasing Stack AV's product development velocity by accelerating machine learning iterations. Our core mission is to deliver a training system that is reliable, scalable, user-friendly and observable. This involves profiling, optimizing, and fine-tuning our ML models, as well as evangelizing best practices and frameworks among Machine Learning Engineers (MLEs) across the company.
Responsibilities:
  • Analyze ML models to identify and resolve performance bottlenecks.
  • Incorporate OSS tools to enable ML engineers self-sufficiently profile and optimize models.
  • Deliver solutions to streamline model deployment across various hardware platforms.
  • Collaborate with ML researchers to balance model accuracy and speed.
  • Implement optimizations using CUDA, Triton, and custom kernels.
  • Promote Engineering Excellence: Maintain a high bar for engineering excellence in their own work but also set a culture of engineering excellence within the team.

Qualifications:
  • Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • Experience: 5+ years of experience (including experience with GPU programming and optimization)
  • Technical Skills:
    • Strong programming skills in C++ and Python
    • Proven experience in GPU programming and optimization
    • Familiarity with deep learning frameworks, especially PyTorch
    • CUDA programming
    • Triton language for GPU kernels
    • PyTorch optimization techniques
    • TensorRT implementation
    • ONNX model conversion and deployment
    • Custom GPU kernel development
    • Deep understanding of GPU architectures and performance optimization
  • Problem-Solving: Strong analytical and problem-solving skills
  • Communication: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
  • Autonomous vehicles (AV) experience is a bonus

We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.
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Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV's ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate's residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate's residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate's application.