Campus FPGA Engineer (Intern)
Shanghai
Jump Trading
Jump Trading is a division of Jump Trading Group, a leading data and research-driven trading businessJump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.
About the Role:
We’re looking for engineers to join our FPGA team that is building next-generation, ultra-low-latency systems to power trading with machine learning and other algorithms on a global scale.
What You'll Do:
- This is an opportunity to work on complex problems around networking, high performance computing, and real-time acceleration where we can't just use off-the-shelf hardware.
- You’ll work alongside a small team of experienced engineers who came to Jump from leading companies in FPGAs, semiconductors, networking cards, and more… as well as PhDs from top FPGA research labs around the world.
- Other duties as assigned or needed
Skills You’ll Need:
- Undergraduate or Graduate concentration in Electrical Engineering, Computer Science, or related areas
- Experience with FPGA or other hardware/systems design and development
- Experience with RTL (SystemVerilog/Verilog/VHDL)
- Previous internship experience in hardware or low-level software engineering
- Experience with C, C++, or Python
- Passion for solving complex problems and ability to draw upon knowledge and experience from a variety of technical areas to produce extremely high-performance solutions
- Reliable and predictable availability
Other helpful and related experience:
- lowRISC or RISC-V
- CocoTB, Chisel, Opencore, or Bluespec
- HLS or OpenCL
- Any programming close to the metal with CPU, GPU, microprocessors, etc.
- Linux kernel and driver programming
- Robotics, Telecommunications, or High-Speed Networking
- Raspberry Pi or Arduino
- Excellent marks in courses such as computer architecture, digital design, design verification
Tags: Architecture Computer Science Engineering FPGA GPU HPC Linux Machine Learning Mathematics Physics Python Research Robotics
Perks/benefits: Career development
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