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Mid LevelFull-timePythonC++Machine LearningGitAIML
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Machine Learning Hardware Architect to join IMC Trading and help shape our initiative to deploy machine learning directly onto custom hardware. This role offers the rare opportunity to architect solutions from scratch and influence technical direction in one of the most demanding computing environments in the world.
Key Responsibilities
- →Design, implement, and deploy machine learning engines on custom hardware, achieving latency that software alone cannot match
- →Collaborate with traders, quantitative researchers, and software engineers to translate ML models into efficient implementations
- →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
Requirements
- ✓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
- ✓Understanding of machine learning fundamentals – neural network architectures, inference optimization, quantization techniques
- ✓Experience optimizing inference for temporal or sequential ML 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
Benefits
- ★Competitive salary and discretionary bonus
- ★Paid leave and insurance
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