Inco, Bay Area HQ +1
We are looking for a founding engineer to own kernel-level performance across our inference stack. You will identify bottlenecks, write and fuse GPU kernels, use agents to automate kernel optimization, and carry improvements through to production.
This is a deeply hands-on role with wide ownership. You will define projects from first principles, work across the hardware–software boundary, and pursue the performance gains that matter most, whether on conventional GPUs or emerging custom accelerators. There is no management layer between you and the work: you will set the direction and ship it.
Strong preference for in-person in Palo Alto or Brooklyn.
Inco AI (inco.ai http://inco.ai) builds the agent-native inference platform for tomorrow's token economics. We build the inference layer that makes advanced AI fast enough for real workflows and affordable enough to use at scale. Agents are at the center of our work: when a single task chains dozens of model and tool calls, every gain in speed, cost, and reliability compounds.
We’re the researchers and engineers behind AWQ, DFlash, and TensorRT-LLM, with decades of combined leadership in AI efficiency and prior successful exits. Our team connects frontier research with the engineering needed to bring fast, reliable inference to production at scale.
$200K–$400K / yr
Posted Jan 22, 2026
Anyone AIArgentina - Fully Remote +8
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Pay not posted
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NVIDIAUS, CA, Santa Clara +3
$184K–$288K / yr
Posted 16 days ago
checked 5 days agoSciforiumSan Francisco, CA
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Posted 8 days ago
Liquid AISan Francisco +2
Pay not posted
Posted Jul 29, 2025
Source: the Inco Ashby job board. We last checked this job 7 h ago. We first saw it 16 h ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.
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This base pay is above the median for inference and ML systems jobs in the Bay Area with no level in the job title.
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