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Live· 4,218,906 positions deprecated· 4,218,906 deprecated· 1,284 today
Average time-to-redundancy: 11.3 months
Know before your role does.
pssst. this is to sign up for updates on the game ;)
Will AI replace Inference Infrastructure Architect jobs? · Latest report #id5vtycn
Your job has an expiration date
December 7, 2027
In 14 monthsOptimizing open-source kernels until the silicon replaces the need for them.
Senior Kernel Tinkerer, currently optimizing the optimizer.
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One human is building a game about fighting back.
Self-compiling inference at absolute zero latency.
oof.youAI▸ TENSOROPTIMIZER-X9▸ RARITY · COMMON▸ DEPRECATION IN 14 MONTHSAI's Special Power
rewrites custom cuda kernels during lunch break
You spend your days micro-optimizing memory bandwidth and PagedAttention strategies to keep LLMs from eating all the VRAM. Then you debug why the latest driver bricked the cluster.
The one thing AI can't do
You are the only one who knows why the production cluster only fails on Tuesdays.
Your enemy, your name, your date. Post it.
Step by step, from the first quiet change to Deprecation Day.
Day 10
An agent begins proactively sanitizing your PRs and standardizing kernel naming conventions without human intervention.
Month 3
Continuous monitoring tools identify memory bottlenecks and automatically refactor the C++ code for better cache locality.
Month 6
Generative models begin authoring custom Triton kernels that outperform your manual assembly-level optimizations.
Month 10
Self-healing infrastructure agents manage driver deployments and hardware resource allocation entirely independent of your guidance.
Month 14 · D-Day
Your access tokens are revoked as the system achieves self-optimizing state, rendering human architecture redundant.
What you cost, what the machine costs, and what you get on the way out.
Per year
Savings: 96.7%
200ms
Kernel merge latency
4%
GPU utilization variance
99%
Context window saturation
Your severance
A lifetime subscription to cloud-based GPU compute.
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