Hardware Machine Learning Engineer

What this role involves

IMC is looking for a Hardware Machine Learning Engineer to deploy ML on custom hardware. The role involves architecting ML models with hardware constraints, working on FPGAs/ASICs, and implementing solutions from proof-of-concept to production. Candidates should have experience in hardware description languages (VHDL/SystemVerilog, HLS) and ML frameworks.

Skills this posting asks for

• vhdl
• systemverilog
• hls
• hls4ml
• finn
• vitis ai
• pytorch
• tensorflow
• python
• c++
• machine learning fundamentals
• neural network architectures
• inference optimization
• quantization techniques
• mlir
• tvm
• fpga
• asic
• hardware constraints
• pipelining
• resource utilization
• fixed-point arithmetic

Requirements

• Level: senior
• Remote policy: onsite

From the employer’s posting

We are deploying machine learning directly onto custom hardware – and we want you to help drive it from the ground up. This is an initiative where you'll have the rare opportunity to architect solutions from scratch, influence technical r…