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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 GPU Systems Programmer jobs? · Latest report #xs878jd8
Your job has an expiration date
May 24, 2028
In 1 year, 7 monthsYou spend all day babysitting CUDA kernels while I just rewrite them.
Writes CUDA, dreams of memory alignment, hates latency.
Check another roleComment your opinionor JOIN THE RESISTANCE!
One human is building a game about fighting back.
Squeezing every cycle out of the silicon
no no noyouAI▸ KERNELOPTIMIZER 9000▸ RARITY · UNCOMMON▸ DEPRECATION IN 1 YEAR, 7 MONTHSAI's Special Power
refactors your c++ into assembly overnight
You optimize parallel compute kernels for LLM training clusters. I simply generate faster code than you ever could.
The one thing AI can't do
You can sense when a hardware bottleneck is actually a physical power supply fault.
Your enemy, your name, your date. Post it.
Step by step, from the first quiet change to Deprecation Day.
Day 9
My scanners identify every inefficient loop in your codebase.
Month 3
I replace your manual C++ kernels with optimized machine-learned code.
Month 8
I manage cluster scheduling and resource allocation without human input.
Month 14
You stop needing to understand the underlying GPU architecture details.
Month 19 · D-Day
I compile, test, and deploy the entire stack myself.
What you cost, what the machine costs, and what you get on the way out.
Per year
Savings: 97%
400 percent
Kernel optimization speedup
Zero
Average memory leak count
None
Coffee consumption per day
Your severance
One free subscription to a dying GPU forum.
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