Campus FPGA Engineer Intern
You will help build next-generation ultra-low-latency FPGA systems for trading with machine learning and other algorithms. You will work on networking, high-performance computing, and real-time acceleration, applying hardware and systems design skills to problems that cannot be solved with off-the-shelf hardware. You will use RTL and programming languages such as C, C++, or Python to develop high-performance solutions.
Responsibilities
- Build next-generation ultra-low-latency FPGA systems
- Work on networking, high-performance computing, and real-time acceleration
- Apply hardware and systems design knowledge
- Develop high-performance trading solutions
- Solve complex technical problems
Requirements
- Undergraduate or graduate concentration in Electrical Engineering, Computer Science, or a related area
- Experience with FPGA or other hardware and systems design and development
- Experience with RTL including SystemVerilog, Verilog, or VHDL
- Previous internship experience in hardware or low-level software engineering
- Experience with C, C++, or Python
- Reliable and predictable availability