Engineering Intern (Spring 2027)

SRC, Inc•Syracuse, NY

11d•$22 - $26•Onsite

About The Position

SRC Inc. is seeking Engineering Interns for spring 2027 who will be working onsite, 40 hours a week. 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 Embedded Design, Machine Intelligence, Integration & Test Engineering, or Software Engineering. 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.

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, or Software)
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

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
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