Hardware Machine Learning Engineer
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Job Location:
Chicago, IL - USA
Monthly Salary:
Not Disclosed
Posted on:
14 hours ago
Vacancies:
1 Vacancy
Job Summary
We are deploying machine learning directly onto custom hardware and we want you to help shape it from the ground up. This is an initiative where youll have the rare opportunity to architect solutions from scratch influence technical direction and see your work drive real impact in one of the most demanding computing environments in the world.
We already have one of the most competitive low latency setups in trading. Now were expanding our use cases to bring the power of neural networks and ML algorithms onto our custom hardware infrastructure. If youve ever wanted to push the boundaries of whats computationally possible this role is for you.
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 youll 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 withFPGAor 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 withFPGAdevelopment 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
Nice to Have
- 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
The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time permanent positions are eligible for a discretionary bonus and benefits including paid leave and visit Benefits - US IMC Trading for more comprehensive information.
About Us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989 weve 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.
Required Experience:
IC
Key Skills
- Arm
- Electrical Engineering
- SOC
- System Design
- Firmware
- C/C++
- PCB
- Sensors
- Fpga
- Digital design
- Assembly
- Product Development
About Company
0-50 employees
IMC is where the brightest minds in trading, technology, and quant research come together to solve the industry’s greatest challenges. Explore careers with us.
