Job Description

Position Summary

Two Sigma is a leading quantitative investment management and trading firm. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors.

Our team of engineers, quantitative researchers and data scientists looks beyond the traditional to test hypotheses and develop creative solutions to some of the world's most complex economic problems.

Two Sigma Securities brings a scientific approach to systematic trading and risk management to make markets more efficient. Our team trades over 10,000 US equities and 4,000 listed options, leveraging our high performance trading system to execute over 850 million shares per day. Two Sigma Securities is entering an exciting growth phase. We value the insights of our colleagues and encourage them to innovate and shape their own work agenda. New joiners use our proprietary platform to work on diverse projects. From building next generation trading technologies and researching novel AI and machine learning techniques to enhancing our strategies and deploying automation, our team is pushing the frontier in systematic trading.

Technology drives our business - it's our main advantage - and software engineers play a pivotal role.

Software engineers at Two Sigma focus on analysis, experimentation, design, and elegant implementation. They build the scalable tools the organization needs to explore data's possibilities and act on our findings - to mine the past and attempt to predict the future.

As a Two Sigma engineer, you'll champion the rigorous, collaborative, scientific approach that allows us to meet business needs. You'll join a forward-looking, future-reaching organization to build software that will scale with the company.

We attract engineers with a true passion for data. We seek individuals who want to build for today and invent for tomorrow. We value curiosity and insight, balanced with pragmatism and practicality. We recognize both the small steps, as well as the broad vision.

We are seeking a diverse set of software engineering interns to join our team. With a group that includes a Unix Lifetime Achievement winner, Putnam medalists, ACM Programming competition finalists, and International Mathematics Olympiad medalists, you'll be in the company of ambitious high achievers with common goals and a love of learning.

The summer internship program lasts 10 weeks and takes place at our Soho-based New York City office. You will partner with an assigned mentor and work on a single project during the course of your time here, which culminates in a final presentation.

You'll have the chance to attend all Two Sigma events, from brown bag lunches to our ongoing series of guest speakers. We'll host intern-specific social events to help you get to know other Two Sigma employees and explore all that surrounding New York City has to offer.

You will take on the following 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 your work and present your findings to the team.

You should possess the following qualifications:

• 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.
• Strong problem-solving, communication, and collaboration skills.
• Interest in learning FPGA development, verification, computer networking, and low-latency systems.
• Experience through coursework, labs, research, student teams, or personal projects; prior professional hardware experience is not required.

Nice to have-but not required

• 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.

You will enjoy the following benefits:

• Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
• Hybrid Work Policy: Flexible in-office days with budget for home office setup

The weekly base pay for this role will be between $3,800/Week (Bachelors), $3,900/Week (Masters) and $4,200/Week (PhD) based on academic degree conferred. This role may also be eligible for other forms of compensation and/or benefits.

We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

Two Sigma is committed to providing reasonable accommodations to qualified individuals in accordance with applicable federal, state, and local laws.

If you believe you need an accommodation, please visit our website for additional information.

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