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Two Sigma

Quantitative finance firm building predictive models

Hardware Engineering Intern

Silicon & ASIC DesignConfirmed live in the last 24 hours
Internship · Summer 2027New York, NY, USA$108.13 /hr

About the Job

Requirements

  • Currently pursuing a bachelor's or master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.
  • Completed coursework or projects in digital logic, computer architecture, embedded systems, computer networking, or a related area.
  • Familiarity with a hardware-description language such as SystemVerilog, Verilog, or VHDL.
  • Basic programming experience in Python, C, C++, or a similar language.
  • Understanding of foundational digital-design concepts, including combinational and sequential logic, finite-state machines, pipelining, and clocked circuits.
  • Experience through coursework, labs, research, student teams, or personal projects; prior professional hardware experience is not required.

Responsibilities

  • Design, simulate, and test digital logic for FPGA-based systems with support from experienced engineers.
  • Contribute to reusable RTL components and verification environments.
  • Write tests and debugging tools using SystemVerilog, Python, or similar languages.
  • Use simulation and waveform-analysis tools to investigate functional and performance issues.
  • Gain hands-on experience with synthesis, timing analysis, and FPGA implementation workflows.
  • Explore hardware-software interfaces and help integrate components into larger systems.
  • Collaborate with hardware, software, networking, and quantitative teams.
  • Document work and present findings to the team.

Desired Qualifications

  • Experience with an FPGA development board or vendor toolchain.
  • Familiarity with simulation, testbenches, assertions, or waveform debugging.
  • Exposure to synthesis, timing constraints, clock-domain crossings, or hardware verification.
  • Familiarity with networking concepts or protocols such as Ethernet, TCP/IP, or UDP.
  • Participation in robotics, chip design, embedded systems, competitive programming, or engineering clubs.
  • Experience using Git or another version-control system.
  • Interest in high-performance computing or financial technology.

About the Company

Two Sigma

Quantitative finance firm building predictive models

Two Sigma is a financial sciences firm that uses data analysis, rigorous inquiry, and invention to tackle complex problems in investment management, securities, private equity, insurance technology, and venture capital. Its product approach centers on building sophisticated predictive models powered by extraordinary computing power and vast data. Modelers and engineers test ideas with information and iterative improvement to drive progress. Compared with many peers, Two Sigma differentiates itself through a data-driven, model-centric investment process that relies on large-scale computing and extensive datasets rather than relying on traditional methods alone. The company aims to solve the toughest challenges in its fields and advance investment outcomes by continuously refining predictive models through experimentation.

Company size
1,001-5,000
Company stage
Not listed
Total funding
$378.2M
Headquarters
New York City, New York
Founded
2001

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