FPGA Intern, London

Jump 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 incenting 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.

*NOTE - We accept students needing placements or otherwise extended internships. We also allow internships to take place during a non-summer term (for example - the winter, spring, or fall months) if preferable when it makes sense.  

We’re looking for brilliant engineering talent 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.  

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.  

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. Other duties as assigned or needed.  

What 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 

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