Drive the development, optimization, and deployment of Altera FPGA Compiler by working at the intersection of machine learning and compiler/toolchain development
Job Summary
Drive the development, optimization, and deployment of Altera FPGA Compiler by working at the intersection of machine learning and compiler/toolchain development.
Develop, optimize, and deploy advanced machine learning technologies to enhance FPGA compiler performance, focusing on timing closure, resource utilization, and power efficiency.
Collaborate with customers, FPGA architects, and internal engineering teams to gather ML requirements, define success metrics, and deliver tailored, production-ready solutions.
Matching Summary
Drive the development, optimization, and deployment of Altera FPGA Compiler by working at the intersection of machine learning and compiler/toolchain development.
Salary
$172.1 – $253.7 CAD; Not specified; Not specified
Skills & Requirements
Must-have
Machine learning development
ML model optimization
ML systems engineering
FPGA compiler performance
PyTorch, TensorFlow integration
C++, Python production experience
Nice-to-have
Agile methodologies
AI coding assistants
Edge AI inference on FPGAs
Neuro-symbolic AI techniques
Cross-functional collaboration
Key Requirements
Bachelor's Degree or higher in CS, EE, or related
10+ years ML development/optimization/systems engineering