IMC Trading · 13 hours ago
Hardware Machine Learning Engineer
IMC Trading is a global trading firm known for its cutting-edge research environment and technology backbone. They are seeking a Hardware Machine Learning Engineer to design, implement, and deploy machine learning engines on custom hardware, collaborating closely with traders and researchers to influence technical direction and drive real impact in a competitive low latency trading environment.
Financial Services
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
Qualification
Required
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
Preferred
Experience with High-Level Synthesis (HLS) or other hardware description languages beyond traditional RTL
Familiarity with ML-to-hardware frameworks such as hls4ml, FINN, or Vitis AI
Experience with ML-relevant compiler intermediate representations and optimization passes such as MLIR, LLVM, polyhedral analysis, or production ML compilers (TVM, XLA, IREE)
Background in ultra-low-latency systems – whether in high-frequency trading, particle accelerator data acquisition, real-time signal processing, or similar applications
Experience with functional verification methodologies (SystemVerilog, UVM, Cocotb)
Advanced degree (MS or PhD) in Electrical Engineering, Computer Science, Physics, or related field
Benefits
Discretionary bonus
Paid leave
Insurance
Company
IMC Trading
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone.
H1B Sponsorship
IMC Trading has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (25)
2024 (12)
2023 (9)
2022 (9)
2021 (15)
2020 (14)
Funding
Current Stage
Late StageRecent News
2022-05-31
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