Engineer-ARM Neon,ARM SVE,Performance optimization
Tasks
- Analyze CPU pipeline and memory hierarchy bottlenecks
- Benchmark and establish performance baselines
- Characterize compute memory and cache behavior
- Collaborate on software hardware co-design with architecture teams
- Develop optimized ML kernels and libraries for QMX
- Extract performance counters and bottlenecks
- Generate execution traces using QEMU
- Identify ML workloads for CPU execution
- Implement GEMM convolution attention and activation kernels
- Integrate with Open-source ML frameworks
- Optimize kernels using data layout and memory optimizations
- Perform performance profiling and competitive analysis
Perks/Benefits
- N/A
Skills/Tech-stack
Assembly | Attention | Benchmarking | C# | C++ | Cache Aware Execution | Cache optimization | Computer Architecture | Convolution | GEMM | Instruction-Level Tracing | Intrinsics | Machine Learning | Memory Optimization | Neon | Parallel execution | Performance Profiling | Performance counters | Performance optimization | Python | QEMU | QMX | SIMD | SVE | Simulation | Vectorization
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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