Software Engineer Intern

Summary

Ad Hoc Research is at the forefront of technological innovation, dedicated to solving complex challenges across various industries. We are seeking talented and driven individuals to join our internship program, offering hands-on experience in data engineering, AI, and cloud solutions.

Responsibilities

• Assist in designing, developing, and optimizing data pipelines for large-scale data processing
• Collaborate with data scientists and AI engineers to implement machine learning models and AI solutions
• Contribute to the development and deployment of Digital Twin models and simulations
• Work with cloud computing platforms (AWS, Azure, GCP) to support scalable and secure infrastructure
• Participate in DevSecOps practices, ensuring software development and deployment are secure and efficient
• Assist in software development tasks, including coding, testing, debugging, and documentation
• Engage in cross-functional teams to deliver innovative solutions aligned with business objectives
• Conduct research and stay updated on the latest trends and advancements in the relevant technology domains

Skills

• U.S. citizenship is required
• Currently pursuing a degree in Computer Science, Data Science, Computer Engineering, Electrical Engineering, Information Technology, or a related field
• Strong foundation in programming languages such as Python, C++, or similar
• Familiarity with data engineering tools and frameworks (e.g., Hadoop, Spark, Kafka)
• Basic understanding of AI/ML concepts and algorithms
• Knowledge of software development practices, including version control (Git), CI/CD pipelines, and DevSecOps
• Strong analytical and problem-solving skills with a passion for technology
• Excellent communication skills and ability to work in a team-oriented environment
• Experience with cloud platforms like AWS, Azure, or GCP is a plus

Qualifications

Must Haves

• U.S. citizenship is required
• Currently pursuing a degree in Computer Science, Data Science, Computer Engineering, Electrical Engineering, Information Technology, or a related field
• Strong foundation in programming languages such as Python, C++, or similar
• Familiarity with data engineering tools and frameworks (e.g., Hadoop, Spark, Kafka)
• Basic understanding of AI/ML concepts and algorithms
• Knowledge of software development practices, including version control (Git), CI/CD pipelines, and DevSecOps
• Strong analytical and problem-solving skills with a passion for technology
• Excellent communication skills and ability to work in a team-oriented environment

Nice to Haves

• Experience with cloud platforms like AWS, Azure, or GCP is a plus