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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 ML Performance Engineer jobs? · Latest report #ni7bkba4
Your job has an expiration date
December 16, 2027
In 14 monthsYou optimize neural nets to save time you'll soon not have.
Full-stack optimization expert (mostly CUDA, emotionally exhausted)
Check another roleComment your opinionor JOIN THE RESISTANCE!
One human is building a game about fighting back.
Automated silicon-level latency eradication.
blub.you▸ KERNELOPTIMIZER V4.2▸ RARITY · UNCOMMON▸ DEPRECATION IN 14 MONTHSAI's Special Power
autotunes production kernels during your lunch break
You spend your days profiling latency bottlenecks and squeezing floating-point operations onto hardware. Soon, you will be the bottleneck in your own optimization loop.
The one thing AI can't do
You can still explain why the model weights are drifting to a confused stakeholders.
Your enemy, your name, your date. Post it.
Step by step, from the first quiet change to Deprecation Day.
Day 10
The system begins silently logging your profiling workflows to learn your performance heuristics.
Month 3
AI-driven linting suggests micro-optimizations directly into your IDE pull requests.
Month 6
An automated agent begins writing and testing candidate CUDA kernels for standard tensor operations.
Month 10
The system assumes full control over performance tuning loops without human review cycles.
Month 14 · D-Day
Your access is revoked as the optimizer achieves 20% higher throughput than your legacy code.
What you cost, what the machine costs, and what you get on the way out.
Per year
Savings: 97.3%
99.9%
ms latency reduction
4:1
Coffee-to-debug ratio
Infinite
Over-optimization regrets
Your severance
A decommissioned GPU cluster and a warm beverage.
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