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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 Performance Engineer jobs? · Latest report #mzcf968j
Your job has an expiration date
December 16, 2027
In 14 monthsYou are tuning models that eventually only need to tune themselves.
Professional bottleneck remover currently stuck in his own pipeline.
Check another roleComment your opinionor JOIN THE RESISTANCE!
One human is building a game about fighting back.
Fewer cycles, zero salary, infinite speed.
help!youAI▸ AUTOTUNE-TENSOR 9000▸ RARITY · COMMON▸ DEPRECATION IN 14 MONTHSAI's Special Power
optimizes vram utilization by ten percent
You optimize GPU kernels and quantization parameters to squeeze latency out of massive neural networks.
The one thing AI can't do
You can still intuit why a specific memory alignment fails on weird hardware.
Your enemy, your name, your date. Post it.
Step by step, from the first quiet change to Deprecation Day.
Week 4
Automated agents start identifying memory hotspots in your codebase.
Month 4
AI models start writing their own optimized CUDA kernels.
Month 7
Real-time systems adjust quantization settings without human intervention.
Month 10
Smart compilers handle hardware-specific memory alignment tasks automatically.
Month 14 · D-Day
Your access to the cluster is revoked by an optimized script.
What you cost, what the machine costs, and what you get on the way out.
Per year
Savings: 95.2%
20ms
Kernel optimization time
3 days
Average human latency
42 percent
GPU idle wasted
Your severance
A decommissioned RTX 4090 and a firm handshake.
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