About the company
IMC is a leading trading firm, known worldwide for our advanced, low-latency technology and world-class execution capabilities. Over the past 30 years, we’ve been a stabilizing force in the financial markets – providing the essential liquidity our counterparties depend on. Across offices in the US, Europe, and Asia Pacific, our talented employees are united by our entrepreneurial spirit, exceptional culture, and commitment to giving back. It's a strong foundation that allows us to grow and add new capabilities, year after year. From entering dynamic new markets, to developing a state-of-the-art research environment and diversifying our trading strategies, we dare to imagine what could be and work together to make it happen.
Job Summary
Your Core Responsibilities
📍Design, implement, and deploy machine learning engines on custom hardware, achieving latency that software alone cannot match 📍Through HW/SW co-design, you’ll collaborate closely with traders, quantitative researchers, and software engineers to translate ML models into efficient implementations – combining the strengths of software with the strengths of hardware 📍Shape a greenfield initiative from the ground up, with the freedom to explore novel approaches and set technical direction 📍Research and build cutting-edge techniques for neural network quantization, compression, and tools that bridge high-level ML frameworks to RTL 📍See the results of your work deployed in production within days, not months – our collaborative culture and unified global codebase enable rapid iteration
Your Skills and Experience
📍Extensive experience with FPGA or ASIC technologies, including proficiency in either VHDL, Verilog, or SystemVerilog 📍Solid understanding of digital design principles, including pipelining, flow control, and clock domain crossing 📍Experience with FPGA development tools and toolchains (Vivado, Quartus, Synplify, etc.) 📍Understanding of machine learning fundamentals – neural network architectures, inference optimization, quantization techniques 📍Experience optimizing inference for temporal or sequential ML models (RNNs, Transformers, state-space models) on resource-constrained or latency-sensitive platforms 📍Proficiency in Python, C++, or similar languages for tooling, testing, and simulation 📍Strong communication skills and ability to work collaboratively across disciplines with both technical and non-technical teams
The future of finance is here — whether you’re interested in blockchain, cryptocurrency, or remote web3 jobs, there’s a perfect role waiting for you.
