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Remote Perl Developer Jobs in Pittsburgh, PA (NOW HIRING)

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How much do remote perl developer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote perl developer in Pittsburgh, PA is $77,859.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,300.00 and $82,500.00 per year, depending on experience, location, and employer.

What is a remote Perl developer?

A Remote Perl Developer is a software engineer who specializes in Perl programming while working from a remote location. They develop, maintain, and optimize applications, scripts, and systems using Perl, often for web development, data processing, automation, or network programming. Remote Perl Developers collaborate with teams via online communication tools and may work as freelancers or full-time employees for companies worldwide. This role requires strong knowledge of Perl, databases, and related technologies, along with problem-solving and debugging skills.

What are the key skills and qualifications needed to thrive as a remote Perl developer?

Success as a Remote Perl Developer requires strong proficiency in Perl programming, experience with web technologies, and a background in software development practices. Familiarity with version control systems like Git, frameworks such as Dancer or Catalyst, and a solid grasp of databases (e.g., MySQL or PostgreSQL) is often crucial, with relevant certifications or contributions to open-source projects serving as a plus. Effective remote developers excel in communication, time management, and problem-solving, and are comfortable working both independently and as part of a distributed team. These skills ensure smooth project delivery, maintain code quality, and foster collaboration in a remote work environment.

What are some common challenges faced by remote Perl developers and how can they be addressed?

Remote Perl Developers often encounter challenges such as collaborating across different time zones, troubleshooting complex legacy code, and staying aligned with shifting project requirements. To address these, developers typically use communication tools like Slack, project management platforms like Jira, and version control systems to stay connected and manage tasks effectively. Regular virtual meetings, thorough documentation, and active participation in code reviews can also help ensure everyone is on the same page. Building strong relationships with team members and maintaining a proactive approach to problem-solving further enhance project success and job satisfaction in remote roles.

What are popular job titles related to Remote Perl Developer jobs in Pittsburgh, PA? For Remote Perl Developer jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Remote Perl Developer jobs in Pittsburgh, PA look for? The top searched job categories for Remote Perl Developer jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Remote Perl Developer jobs? Cities near Pittsburgh, PA with the most Remote Perl Developer job openings:
Infographic showing various Remote Perl Developer job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 100% Remote job distribution, with an average salary of $77,859 per year, or $37.4 per hour.

Senior Software Engineer, Perception Architecture

Stack AV

Pittsburgh, PA • On-site, Remote

Full-time

Re-posted 27 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 Perception Architecture team is responsible for tackling complex, cross-cutting issues in Stack AV's approach to perception development and accelerating our delivery of perception capabilities. Many problems in the self-driving trucking industry are not well represented in the literature, requiring novel approaches or formulations to tackle challenging perception problems for the product.
As a Senior Software Engineer, you will develop foundational ML architecture and systematic approaches to challenging, cross-cutting perception problems to ensure the self-driving system scales robustly and efficiently. This role will work closely with other teams to identify pain points and forward looking challenges, develop novel experiments to define future direction, and collaborate with other AI teams to convert these discoveries into products.
Responsibilities:
  • Contribute to the technical direction of the Perception Architecture team and the broader perception organization.
  • Design and develop core machine learning components and architectures that enable the perception system to scale and reliably address complex, long-tail driving scenarios.
  • Drive the initial implementation and prototyping of key architectural decisions, such as handling long tail challenges or long range detection.
  • Contribute to the improvement of model frameworks, architecture, and data pipelines to eliminate development bottlenecks and accelerate model iteration.
  • Lead challenging technical topics and build consensus across sister teams (e.g., Actor Detection, Scene Understanding, Tracking) and stakeholders to ensure autonomy-wide alignment.

Qualifications:
  • BS (with 4+ years of experience), MS (with 2+ years of experience), or PhD (with 1+ years of experience) in a perception-related field, such as Robotics, Computer Vision, or Machine Learning.
  • Extensive experience architecting, training, and evaluating deep learning models for challenging problem spaces.
  • Track record of driving applied research or engineering projects from conception and experimentation to successful productization.
  • Strong experience in software engineering, machine learning algorithm design, and building data/metrics pipelines for ML development.
  • Fluency in Python and hands-on experience with C++.
  • Experience delivering detection, segmentation, tracking, or other perception solutions for real-time robotic applications, with prior experience in sensor fusion being highly desirable.

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.