Applied AI Engineer, Kernel Performance
Tasks
- Build agent system to generate verified production kernels
- Build experiment infrastructure and observability
- Compile and profile implementations
- Continuously evaluate new model releases
- Convert profiler traces hardware counters and simulation into signals
- Create evaluation harness for correctness numerical stability latency efficiency
- Curate datasets from trajectories expert demonstrations counterexamples production outcomes
- Deploy best model optimized kernels to production
- Design and run experiments for kernel implementations
- Diagnose bottlenecks and iterate
- Partner with architecture teams on hardware software roadmap
- Quantify end to end performance impact
Perks/Benefits
- Daily meals
- Housing subsidy
- Medical/Dental/Vision insurance
- Relocation support
- Unlimited compute budget
- Wellness benefits
Skills/Tech-stack
C++ | CUDA | Compiler optimization | Data Processing | Experiment design | Hardware performance | Hardware performance counters | Kernel optimization | Low Precision | Low-precision computation | Memory hierarchy | Numerical Stability | Observability | Parallel Computing | Performance counters | Profiling | Python | Synchronization
Education
N/A
Regions
Countries
States
Cities
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