2026 Systems Engineering Intern - Graduate Level - Plymouth MN

About the role

The role involves developing advanced algorithms for autonomous systems. This includes designing machine learning models and integrating them into complex software systems.

Responsibilities

• Develop and optimize machine learning models for autonomous systems
• Collaborate with cross-functional teams to integrate models into software systems
• Conduct research on emerging technologies to enhance system capabilities
• Document and present findings to stakeholders

Requirements

Required qualifications include a Master's degree in Computer Science, Electrical Engineering, or a related field. Experience with Python, TensorFlow, and Kubernetes is preferred.

Qualifications

Must have strong analytical skills and be able to work independently. Proficiency in C++ and familiarity with cloud platforms like AWS or Azure is beneficial.

Skills

• Advanced knowledge of machine learning algorithms
• Experience with Python and TensorFlow
• Familiarity with Kubernetes and cloud platforms
• Strong problem-solving and analytical skills

Benefits

Competitive salary, comprehensive health insurance, flexible working hours, professional development opportunities, and a supportive team environment.

Pay

$100,000 - $120,000 annually

Schedule

Full-time, Monday through Friday, 9 AM to 5 PM