Hiring: Machine Learning Performance Engineer Company: Fintal Partners Location: Chicago, IL Job Posted Time: 2026-09-10 12:26:18 Target Skills & Keywords : C++, Machine Learning, PyTorch, Python, SystemVerilog, TensorFlow, VHDL About the job Experience: •Exposure to ML compiler infrastructure such as MLIR, TVM, or XLA; a background in latency-sensitive or resource-constrained systems including high-frequency trading, particle physics data acquisition, or real-time signal processing; familiarity with functional verification methodologies such as SystemVerilog, UVM, or Cocotb. •Trading experience is a bonus, not a prerequisite. The firm is looking for researchers and engineers from any background who want to push the boundaries of what's computationally possible. Qualifications: •Understanding of hardware constraints and design trade-offs (pipelining, resource utilization, fixed-point arithmetic) that shape how ML models map onto FPGAs or custom ASICs •Understanding of machine learning fundamentals: neural network architectures, inference optimization, quantization techniques, and ML frameworks such as PyTorch/TensorFlow •Proficiency in Python, C++, or similar languages for tooling, testing, and simulation •Strong communication skills and the ability to work collaboratively across disciplines with both technical and non-technical teams •An advanced degree (MS or PhD) in EE, CS, Physics, or a related field Compensation: •$500,000 - $1,500,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!