# Wafer AI - Member of Technical Staff at deCircle

> Onsite · United States · Staff · Software engineering · open. Source: https://alderhq.app/jobs/recruitee%3Adecircletalentpartner%3A2780702 (read 2026-11-08).

## Facts (observed)

- Company: [deCircle](https://alderhq.app/companies/decircle)
- Location text: San Francisco, California, United States
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: San Francisco, California, United States")
- Posted: 2026-10-12 (26 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://talent.makerdao.network/o/wafer-ai-member-of-technical-staff
- Skills listed (inferred): Python, AWS

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (SF Bay Area, n 969): p25 $205k, median $240k, p75 $284k

## Description (the employer's text)

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

### 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

On-site 5 days SF; must be in US

---
Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/recruitee%3Adecircletalentpartner%3A2780702 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.