Wafer AI - Member of Technical Staff
deCircle•San Francisco, CA
•$200,000 - $300,000•Onsite
About The Position
Wafer AI is seeking autonomous AI performance engineers to optimize inference on heterogeneous hardware, maximizing intelligence per watt. The company has 7 employees, has raised $4M, and is located in San Francisco.
Requirements
- 1-6 yrs SWE focused on systems close to hardware
- GPU kernels (CUDA/HIP/Triton)
- Inference serving optimization
- First-principles, resourceful, high EQ
- Customer-facing comfort
- Must be in US
Responsibilities
- Ship day-zero support for new open-source models tuned for latency/throughput
- Optimize serving stack: batching, KV cache, speculative decoding, quantization
- Write/tune kernels in CUDA, HIP, Triton for NVIDIA, AMD, TPU, Trainium, D-Matrix
- Design, deploy, operate heterogeneous multi-vendor clusters
- Run production inference: reliability, observability, cost per token
Benefits
- Visa transfers (H-1B transfer, OPT)
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
