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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

4Open Positions

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  • Software Engineer, Intern (Summer 2027)

    aquaticcapitalmanagement
    Chicago, United States
    Found 2 weeks ago
  • Working Student (f/m/d) Embedded Control

    NXP Semiconductors
    Munich, Germany
    Found 3 weeks ago
  • Product Application Engineer

    AMD
    Belfast, United Kingdom
    Found 1 month ago
  • Student assistant

    Technische Universität Berlin
    Berlin, Germany
    Found 1 month ago
  • Stagiaire – Calcul embarqué des pertes IGBT d’un onduleur moyenne tension (H/F)

    GE Vernova
    Belfort, France
    Found 2 months ago

Software Engineer, Intern (Summer 2027)

aquaticcapitalmanagement
Found 2 weeks ago
Location
Chicago, United States
Time
Not disclosed
Work Mode
Not disclosed
Salary
$0
Visa Help
Not disclosed
Last Verified
2 weeks ago

Education

  • Bachelor
  • Master
  • PhD

Skills & Qualifications

Technical Skills

  • Python
  • C++
  • algorithms
  • systems
  • computer architecture
  • Refactoring
  • Test Driven Development

Soft Skills

  • Curiosity
  • collaborative
  • fast-paced environment
  • Strong bias for action
  • Driven by accountability and internal urgency
  • Desire to independently seek best solutions
  • Preference for working in a team that focuses on delivering results aligned with Research goals
  • Comfortable providing and receiving actionable feedback in a collaborative team setting
  • Motivated by an ambitious environment and driven colleagues

Job Description

As a Software Engineering Intern at Aquatic, you will join a fast-moving team building high-performance, distributed systems that power our research and trading infrastructure. You’ll work closely with experienced engineers and quants to design tools, improve system reliability, and optimize our platform for low-latency, high-throughput data processing. This is a hands-on, impactful role—your work will directly influence live systems and research workflows.

Requirements

  • Active student pursuing a BS, MS, or PhD in mathematics, statistics, machine learning, physics, computer science, or other scientific disciplines with an expected graduation date between Fall 2027 and Spring 2028.
  • Solid programming skills in Python and/or C++
  • Strong understanding of algorithms, systems, and computer architecture
  • Curiosity about how things work, and a desire to build systems that do things better
  • Ability to thrive in a collaborative, fast-paced environment
  • Learn software design and testing techniques, such as Refactoring and Test Driven Development

Related Field

  • Software Engineering

Related Subfield

  • Software QA & Testing
▶Apply Now

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