Software Engineer Intern/Co-Op - Fall 2026

Summary

SoloPulse Corp is a dual-use radar company committed to the relentless exploration of radar sensing technology. As a Software Engineer Intern/Co-op, you will play a critical role in developing software solutions, working on tasks ranging from algorithm development to frontend-backend integration.

Responsibilities

• Design, develop, test, and deploy software solutions using a variety of programming languages and technologies
• Implement and maintain both frontend and backend components of our applications
• Develop and optimize algorithms to solve complex problems
• Engineer low-latency solutions to proprietary computational operations
• Collaborate with cross-functional teams to understand and define software requirements

Skills

• Must be pursuing a Bachelor's, Master's, or PhD in Computer Science, Computer Engineering or related quantitative field from an accredited 4-year university
• Proficiency in Python and C++
• Familiarity with embedded and real-time systems programming
• Knowledge of software architecture and design paradigms
• Strong communication and teamwork skills
• Willingness to take ownership of projects and work autonomously
• A strong portfolio of personal software or hardware-related projects
• Familiarity with the CUDA toolkit and associated programming practices
• Familiarity with GPU-accelerated libraries such as PyTorch and OpenGL/ThreeJS

Qualifications

Must Haves

• Must be pursuing a Bachelor's, Master's, or PhD in Computer Science, Computer Engineering or related quantitative field from an accredited 4-year university
• Proficiency in Python and C++
• Familiarity with embedded and real-time systems programming
• Knowledge of software architecture and design paradigms
• Strong communication and teamwork skills
• Willingness to take ownership of projects and work autonomously

Nice to Haves

• A strong portfolio of personal software or hardware-related projects
• Familiarity with the CUDA toolkit and associated programming practices
• Familiarity with GPU-accelerated libraries such as PyTorch and OpenGL/ThreeJS