Inference Stack Engineer
Tasks
- Debug system bottlenecks end to end
- Design and build AI inference stack components
- Design compiler IR and transformation pipelines
- Develop Python DSL for AI workloads and kernels
- Develop runtime systems for model execution and scheduling
- Generate backend code for target execution environments
- Improve numerical stability
- Optimize inference latency throughput and memory efficiency
- Perform graph lowering and optimization passes
- Profile and analyze inference workloads
Perks/Benefits
Skills/Tech-stack
C++ | CUDA | Compute Graphs | Distributed Systems | GPU | JAX | Kernel optimization | LLVM | MLIR | Memory hierarchy | NCCL | Numerical Stability | Operator Level Performance Tuning | Performance Tuning | PyTorch | Python | RPC | Scheduling | TVM | Tensor operations | TensorFlow | Triton | Vectorization | XLA
Education
N/A
Roles
AI | AI Systems Engineer | Compiler Engineer | Engineer | Systems Engineer
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