Solopulseco7mo ago

Software Engineer Intern/Co-Op - Spring/Summer 2026

United States·Peachtree CornersFull-Timeentry

OtherSoftware EngineerSoftware Engineer InternSoftware Engineering

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cpppythonpytorch

SoloPulse Corp is a dual-use radar company committed to the relentless exploration of the frontiers of radar sensing technology. Through the utilization of novel advanced wave theory algorithms, underpinned by the principles of special relativity, SoloPulse can achieve state of the art resolution and latency metrics. Located in Atlanta, GA, SoloPulse stands as a venture-backed startup, diligently cultivating strategic collaborations to proactively address critical safety imperatives and emerging autonomy needs across both civilian and military domains. Our distinguished team encompasses accomplished engineers, seasoned advisors, and experienced startup veterans, collectively driven by an overarching mission to change the way the world sees.

As a Software Engineer Intern/Co-op at SoloPulse, you will play a critical role in the development of our software solutions. You will work on a wide range of tasks, from algorithm development to frontend-backend integration.

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

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