Associate Software Engineer

Carnegie Mellon University•Pittsburgh, PA

About The Position

The Associate Software Engineer will join Carnegie Mellon University’s Software Engineering Institute (SEI), specifically its Enabling Edge Intelligence (E2I) team. E2I develops and optimizes intelligent edge systems for resource-constrained environments where safety, reliability, and performance are essential. The role collaborates with faculty, researchers, and industry to prototype, mature, and transition technologies to government and defense organizations. The work focuses on intelligent edge systems and high-impact software engineering challenges. The position requires a bachelor’s degree or higher in Computer Science, Software Engineering, or a related technical discipline, along with at least three years of hands-on experience designing, developing, and deploying software systems. The successful candidate will have a solid foundation in software engineering across the software development life cycle; strong coding skills in at least one of Python, C++, C, or Java; and practical deployment experience in local or cloud environments, with familiarity with DevOps practices and CI/CD pipelines. Experience using generative AI and agentic tools in coding, debugging, and deployment workflows is also required. The role is based in Pittsburgh, Pennsylvania, and includes less than 10% travel. The employee will be subject to a background investigation and must be able to obtain and maintain a Department of War security clearance.

Requirements

Bachelor’s degree or higher in Computer Science, Software Engineering, or a related technical discipline.
At least 3 years of hands-on experience designing, developing, and deploying software systems.
Solid foundation in software engineering principles across the full software development life cycle (SDLC).
Strong coding skills in at least one core language, such as Python, C++, C, or Java.
Practical experience deploying software into local or cloud environments, with familiarity in DevOps practices and CI/CD pipelines.
Experience leveraging generative AI and agentic tools to streamline coding, debugging, and deployment workflows.
Curiosity and enthusiasm for learning new languages, frameworks, and edge technologies.
Comfort using software management and orchestration platforms such as Git, Atlassian Suite, and Docker/K8s.
Exceptional analytical skills and ability to articulate technical concepts clearly within multidisciplinary, agile teams.
Willingness to travel less than 10%.
Ability to obtain and maintain a Department of War security clearance, subject to a background investigation.

Nice To Haves

At least 3 years of hands-on experience designing, developing, and deploying edge systems or performance-critical software.
Hands-on experience building, testing, or deploying agentic AI systems.
Background or strong interest in software architecture and edge system optimization.
Practical exposure to AI/ML model training, evaluation, and systems integration.

Responsibilities

Design, develop, and deploy software systems.
Collaborate with faculty, researchers, and industry to prototype, mature, and transition technologies to government and defense organizations.
Develop and optimize intelligent edge systems for resource-constrained environments.
Use generative AI and agentic tools to support coding, debugging, and deployment workflows.
Deploy software in local or cloud environments and work with DevOps practices and CI/CD pipelines.
Work within multidisciplinary, agile teams and communicate technical concepts clearly.
Travel, less than 10%, to engage with the CMU community, present at conferences, and work alongside sponsor organizations.