Engineering Intern (Fall 2026)

SRC•Syracuse, NY

8h•$22 - $26

About The Position

SRC Inc ., is currently seeking Engineering Interns for Summer of 2026. As an engineering intern, you will contribute to the design, development, implementation and testing of state-of-the-art radar and electronic warfare products. Based on your interests, you will be selected to work in one specialization from Systems Engineering, Firmware Engineering, Digital Hardware Engineering, Machine Intelligence, Integration & Test Engineering, or Software Engineering. You will indicate all areas of interest during the application process. You will work closely with senior engineers and gain experience in creating innovative solutions tailored to our products and customer needs. You will bring your unique perspective to our multi-department teams of engineers and collaborate on designs aligned with project goals and requirements. What You'll Do Systems Engineer: Assist in system-level design and architecture for complex engineering projects Support system development, integration, validation, and troubleshooting in laboratory and operational environments Develop and document technical specifications and system requirements Model, simulate, and analyze system functionality and performance using MATLAB, Python, and/or other tools Firmware Engineer: Design, develop, implement, test and optimize firmware using VHDL/Verilog Work with FPGAs and System-on-Chips (SoCs) to develop electronic warfare and radar systems Learn and apply FPGA design principles including RTL design, verification, logic synthesis, prototyping, and timing analysis Use Python, TCL and other scripting languages to automate continuous development, continuous integration (CI/CD) workflows Digital Hardware Engineer: Contribute to the design, simulation, and testing of digital hardware systems Design circuit schematics in PADS Designer or Altium and write test firmware for boards with programmable logic using VHDL/Verilog. Create test plans for, validate, and troubleshoot digital hardware prototypes using oscilloscopes, signal generators, logic analyzers, and other lab equipment Software Engineer: Design and develop high-quality software solutions using an Agile workflow Write clean, efficient code and participate in code reviews to ensure delivery of quality products Communicate proposed software solutions with multi-department engineering teams. Develop sound software engineering principles using tools such as Git, Bamboo, Sonarqube Adapt to new technologies and languages including Docker, Kubernetes, Rust as program needs allow Machine Intelligence Engineer: Develop machine learning algorithms and models to enhance product capabilities Analyze data to identify patterns and optimize decision-making processes Work with software and hardware teams to integrate AI/ML solutions into products Integration & Test Engineer: Participate in design requirements reviews to ensure the requirements can be tested Coordinate integration of subsystems and components into full systems. Develop, execute and troubleshoot test plans and procedures to validate system functionality. Increase testing efficiency by utilizing Python-based automated test suite. Utilize model-based tools to define test strategies and verifications against system designs

Requirements

Completion of two years of college and current enrollment in a bachelor’s degree in a relevant engineering field (e.g., Electrical, Computer, Computer Science, Software, Mechanical, or Systems Engineering)
A minimum grade point average of 3.3. Most recent transcripts are required with application (unofficial transcripts are acceptable)
A strong understanding of your engineering fields foundational concepts
Knowledge of design, testing, and debugging techniques relevant to your field
Ability to take initiative and proactively address challenges
Familiarity with applicable tools and methodologies
Ability to work collaboratively in a team environment with excellent communication skills

Responsibilities

Assist in system-level design and architecture for complex engineering projects
Support system development, integration, validation, and troubleshooting in laboratory and operational environments
Develop and document technical specifications and system requirements
Model, simulate, and analyze system functionality and performance using MATLAB, Python, and/or other tools
Design, develop, implement, test and optimize firmware using VHDL/Verilog
Work with FPGAs and System-on-Chips (SoCs) to develop electronic warfare and radar systems
Learn and apply FPGA design principles including RTL design, verification, logic synthesis, prototyping, and timing analysis
Use Python, TCL and other scripting languages to automate continuous development, continuous integration (CI/CD) workflows
Contribute to the design, simulation, and testing of digital hardware systems
Design circuit schematics in PADS Designer or Altium and write test firmware for boards with programmable logic using VHDL/Verilog.
Create test plans for, validate, and troubleshoot digital hardware prototypes using oscilloscopes, signal generators, logic analyzers, and other lab equipment
Design and develop high-quality software solutions using an Agile workflow
Write clean, efficient code and participate in code reviews to ensure delivery of quality products
Communicate proposed software solutions with multi-department engineering teams.
Develop sound software engineering principles using tools such as Git, Bamboo, Sonarqube
Adapt to new technologies and languages including Docker, Kubernetes, Rust as program needs allow
Develop machine learning algorithms and models to enhance product capabilities
Analyze data to identify patterns and optimize decision-making processes
Work with software and hardware teams to integrate AI/ML solutions into products
Participate in design requirements reviews to ensure the requirements can be tested
Coordinate integration of subsystems and components into full systems.
Develop, execute and troubleshoot test plans and procedures to validate system functionality.
Increase testing efficiency by utilizing Python-based automated test suite.
Utilize model-based tools to define test strategies and verifications against system designs