6 algorithm development engineer intern jobs at 4 companies in Texas
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Software Development Engineer Intern, Annapurna Labs - 2027
Cupertino or New York or Austin or Seattle
$111k-$185k/yrOnsiteInternship, Full Time
AmazonNASDAQ: AMZN: Multinational technology focused on e-commerce and cloud computing.
Currently pursuing a bachelor's or master's in computer science, computer engineering, or related field; programming experience in C, C++, Java, or Python; coursework in algorithms, data structures, and software design.
Robotics - Software Development Engineer Fall Intern/Co-op - 2026
North Reading or Westboro or Austin or Bellevue
$111k-$160k/yrOnsiteFull Time, Internship
AmazonNASDAQ: AMZN: Multinational technology focused on e-commerce and cloud computing.
Bachelor's degree or higher in a related STEM field, programming experience, data structures, algorithms or object-oriented design, and at least one quarter remaining after the internship.
IBMNew York Stock Exchange: IBM: Global technology providing enterprise software, cloud, and consulting.
Currently pursuing a BS, MS, or PhD in computer science, computer engineering, electrical engineering, or related field; programming, scripting, algorithms, digital logic, AI, and analytical skills required.
C++, Java, Rust, Python, Linux, GenAI, Agentic AI, ML frameworks, version control systems
Occidental PetroleumNYSE: OXY: Explores and produces oil, natural gas, and chemical products.
Pursuing a master's or doctoral degree in geoscience or engineering; graduation after Fall 2025; 2.85 GPA; data interpretation and algorithm experience; teamwork and petrophysics knowledge required.
Strong Python and Docker skills, good understanding of data structures/algorithms and backend development; familiarity with APIs, databases, and machine learning workflows; strong problem-solving and collaboration skills.
Viridien: Provides geoscience services, earth data, and seismic equipment.
Strong Python and Docker skills, solid fundamentals in data structures and algorithms, backend development familiarity, ability to work across domains, problem-solving, and attention to detail; Kubernetes, cloud, and ML exposure preferred.