IMC Trading

Hardware Machine Learning Engineer

Chicago, United States; New York, United States · Full-time

Sponsorship not specified$200k-$225kDetected 26 days ago

PythonC++Machine LearningTensorFlowPyTorchVHDLVerilogSignal ProcessingResearchCommunication

About the role

If you've ever wanted to push the boundaries of what's computationally possible, this role is for you.
Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend.

Architect and co-design ML models with traders, quant researchers, and software engineers, treating hardware constraints (latency budgets, resource limits, numerical precision) as first-class design inputs
Work hands-on with hardware engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production
Solid understanding of hardware constraints and design trade-offs (e.g., pipelining, resource utilization, fixed-point arithmetic) that shape how ML models can be efficiently mapped onto FPGAs or custom ASICs

Experience with hardware fundamentals, whether through VHDL /SystemVerilog development, HLS tools, or ML-to-hardware frameworks like hls4ml, FINN, or Vitis AI
Proficiency in Python, C++, or similar languages for tooling, testing, and simulation

Exposure to ML compiler infrastructure such as MLIR, TVM, XLA, or similar tools for lowering and optimizing models for hardware targets
Background in latency-sensitive or resource-constrained systems including high-frequency trading, particle physics data acquisition, real-time signal processing, or similar domains
Familiarity with functional verification methodologies (for example SystemVerilog, UVM, Cocotb)
Advanced degree (MS or PhD ) in EE, CS, Physics, or related field, or equivalent depth through industry or research experience

$200,000 - $225,000 USD
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone.
Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend.
Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back.
From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

Track and evaluate emerging research in neural architecture search, machine learning systems and quantization methods, and determine what translates to measurable improvements in our systems
Understanding of machine learning fundamentals - neural network architectures, inference optimization, quantization techniques, ML frameworks such as PyTorch/TensorFlow

IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone.
Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back.
From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

This listing is sourced directly from IMC Trading's careers page and normalized into a canonical job model.