Wafer AI - Member of Technical Staff
Posted 12 OctFound 20 OctSeen 5 hours ago
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The Posting
Wafer AI: maximize intelligence per watt; autonomous AI performance engineers optimizing inference on heterogeneous hardware. 7 people, $4M raised, SF.
Comp: $200K-$300K + 0.5%-1% equity. Location: on-site 5 days FiDi SF. Visa: Visa transfers (H-1B transfer, OPT); must already be in US; no new H1B.
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
Tech stack: CUDA, HIP, Triton, Python, TPU, AWS Trainium
Source: https://www.paraform.com/share/wafer-ai/cmrtyva4m000j0cl7i7j9wbue
- 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
- On-site 5 days SF; must be in US
Facts
- Source
- Recruitee
- External id
- 2780702
- Location
- San Francisco, CA, United States
- Remote
- On-site, from the posting
- Pay
- $200,000 to $300,000, read from the text
- Posted
- 12 Oct 2026, 20:30
- First seen
- 20 Oct 2026, 13:47
- Last seen
- 2 Nov 2026, 11:16
- Status
- Not yet added
- Posting id
- 8373f283-599c-5827-bf56-4b494547f63a