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Graduate Junior Software Developer Jobs in Pittsburgh, PA

Software Engineer Sr - Pega Developer

Pittsburgh, PA · On-site

$54.50 - $71.50/hr

As a Software Engineer Sr - Pega Developer within PNC's Treasury Management Service ... Provide leadership, mentorship, and technical guidance to junior and mid-level developers.

New

Software Engineer Principal

Pittsburgh, PA · On-site

$131K - $175K/yr

As a Software Engineer Principle at PNC, you will have the following: Key Responsibilities ... Team Leadership & Collaboration Mentor and guide developers and junior team members. Provides ...

Showing results 21-40

Graduate Junior Software Developer information

See Pittsburgh, PA salary details

$23.3K

$86.4K

$133.5K

How much do graduate junior software developer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for graduate junior software developer in Pittsburgh, PA is $86,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $84,500.00 per year, depending on experience, location, and employer.

What is a graduate junior software developer?

Graduate Junior Software Developers are entry-level professionals who have recently completed their university degrees, typically in computer science or a related field. They are responsible for assisting in the design, development, testing, and maintenance of software applications under the guidance of more experienced developers. This role is designed to help new graduates build practical experience, learn industry best practices, and develop their coding and problem-solving skills in a professional environment.

What types of projects can a graduate junior software developer expect to work on during their first year?

As a Graduate Junior Software Developer, you’ll typically start by supporting senior developers on existing projects, such as fixing bugs, writing unit tests, and implementing small features. Over time, you may be assigned to work on new development projects, collaborate on code reviews, and assist in designing software solutions. These tasks help you become familiar with the company’s technology stack, coding standards, and development processes, while also providing opportunities to learn from more experienced team members.

What are the key skills and qualifications needed to thrive as a graduate junior software developer, and why are they important?

To thrive as a Graduate Junior Software Developer, you need a solid understanding of programming languages (such as Java, Python, or C#), problem-solving skills, and a relevant degree in computer science or a related field. Familiarity with version control systems like Git, basic knowledge of databases, and exposure to IDEs and development frameworks are typically required. Strong attention to detail, eagerness to learn, and effective collaboration set exceptional candidates apart. These skills and qualities are essential for building reliable software, adapting to evolving technologies, and contributing positively to a development team.

What are popular job titles related to Graduate Junior Software Developer jobs in Pittsburgh, PA?

For Graduate Junior Software Developer jobs in Pittsburgh, PA, the most frequently searched job titles are:

What cities near Pittsburgh, PA are hiring for Graduate Junior Software Developer jobs?

Cities near Pittsburgh, PA with the most Graduate Junior Software Developer job openings:

Infographic showing various Graduate Junior Software Developer job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $86,379 per year, or $41.5 per hour.

Senior Software Engineer - Scalable Machine Learning

Latitude AI

Pittsburgh, PA • On-site

$118K - $156K/yr

Full-time

Re-posted 12 days ago


Job description

Job Summary:
Latitude AI develops automated driving technologies, including L3, for Ford vehicles at scale. The Senior Software Engineer for the Scalable ML team will design and implement cloud services for data management and workflow orchestration, while also mentoring junior engineers and collaborating with cross-functional teams.
Responsibilities:
• Design, and implement state-of-the-art cloud services for data ingest, workflow orchestration, and distributed training at scale
• Develop solutions to generate, manage, and process large amounts of multi-sensor training data for machine learning
• Drive advanced MLOps practices, including model artifact management, experiment tracking, and automated model deployment and testing strategies
• Collaborate closely with cross-functional teams, perception experts, and roboticists to integrate ML pipelines and ensure the delivery of high-quality, production-ready software
• Mentor junior engineers and provide technical guidance to elevate the team's software development standards
Qualifications:
Required:
• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD)
• Strong track record of successfully delivering complex software projects from conception to production
• Proven expertise in developing and optimizing machine learning data pipelines, data generation, and distributed model training
• Experience designing, building, and operating large-scale distributed systems and cloud infrastructure
• Strong proficiency in Python and/or C++ for developing high-performance, production-quality software
Preferred:
• Master's or PhD in Computer Science, Electrical Engineering, Robotics, or a closely related field
• Hands-on experience with distributed machine learning frameworks and tools such as Ray, PyTorch, Dagster, LakeFS, or PyArrow
• Experience with multi-sensor data fusion and processing techniques relevant to autonomous driving applications
• Familiarity with safety-critical software development principles in automotive or robotics domains
• Deep understanding of machine learning concepts, computer vision use cases, and the challenges of L2/L3 autonomy
Company:
Latitude AI is a wholly owned subsidiary of Ford Motor Company developing automated driving technologies. Founded in 2022, the company is headquartered in Pittsburgh, USA, with a team of 501-1000 employees. The company is currently Late Stage.