AI/ML Systems Engineer, (2026 New College Graduate)
USA - Texas - Richardson, United States
USD 72K-124K Entry-level Full Time
Tasks
- Build workload quantitative models
- Collaborate on design tradeoffs
- Communicate findings through reports and presentations
- Define performance KPI estimation methodology
- Identify compute memory bandwidth power bottlenecks
- Map workload demands to hardware capabilities
- Optimize kernels scheduling memory layout
- Project throughput latency efficiency for architectures
- Study AI ML workloads
- Validate models against silicon or simulation data
Perks/Benefits
Skills/Tech-stack
Compiler optimization | Computer Architecture | IREE | Latency modeling | MLIR | Machine Learning | Matrix Extensions | Memory layout | Operational Intensity Profiling | Performance Modeling | Python | RISC-V | Roofline analysis | Rounding Precision Modeling | Runtime optimization | Scheduling | TVM | Throughput modeling | Vector extensions
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML Systems Engineer | Engineer | ML Systems Engineer | Systems Engineer
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