Staff Systems Engineer, AI/ML
USA - Texas - Richardson, United States
USD 106K-205K Senior-level Full Time
Tasks
- Build analytical performance models
- Define AI ML performance KPI framework
- Define measurement methodology
- Estimate KPIs pre silicon
- Identify performance bottlenecks
- Lead HW SW architectural discussions
- Measure KPIs accurately
- Mentor junior engineers
- Own workload characterization process
- Perform hardware performance analysis
- Present performance findings to leadership
- Project system level KPIs for candidate architectures
- Select representative workloads
Perks/Benefits
Skills/Tech-stack
AI Compiler | AI/ML | AI/ML acceleration | Bandwidth Latency Analysis | Bandwidth Latency Tradeoff Curves | CPU architecture | Chip architecture | DDR | DRAM | DSP | First Principles Throughput Modeling | First principles | IREE | Inference Accelerator | LPDDR | Latency analysis | Lowering Pipeline | ML acceleration | MLIR | Memory bandwidth | Memory hierarchy | Model Quantization | NPU | Order execution | Out-of-order | Out-of-order execution | Performance Modeling | Power Management | Quantized models | Roofline model | SIMD | Sparsity | System on chip | System-on-Chip architecture | TVM | Throughput modeling | Vectorization | Workload characterization
Education
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