AI/ML Systems Engineer, (2026 New College Graduate)
Core
Early-career engineer specializing in workload characterization, performance modeling, and hardware mapping for AI/ML inference and training stacks.
Role type
Junior IC AI/ML Systems Engineer
Builds
Quantitative performance models and hardware mapping studies for semiconductor architectures
Domain
Semiconductor manufacturing, computer architecture, machine learning infrastructure
Deliverable
production ML models
Required skills
Roofline analysis, operational intensity profiling, bottleneck decomposition, Python programming, analytical performance modeling, mathematical reasoning, technical communication
Preferred skills
MLIR/IREE/TVM familiarity, RISC-V architecture knowledge, edge/mobile SoC workload characterization, project management
Technologies
Python, MLIR, IREE, TVM, RISC-V
Responsibilities
Study AI/ML workloads across inference and training stacks to build quantitative behavior models; map workload demands to hardware capabilities for design tradeoff discussions; estimate and validate performance KPIs before silicon availability; communicate findings via reports and presentations
Seniority
Junior, hands-on IC
