Forward Deployed AI/ML Engineer
Why it's interesting
Groq literally frames the job as 'a hands-on AI startup CTO' — deploy and optimize inference on their LPU stack inside customer orgs, up to 50% travel. $143,600–$289,100, and one of the few FDE seats on the chip side of the inference war rather than the model side.
The role
Deploy Groq and optimize AI inference workloads in the field: build large-scale LLM workflows, troubleshoot model performance, run benchmarking, and serve as the bridge between customers and Groq's engineering teams. Wants a strong CS/ML/physics/eng background, Python/Java/C++, and appetite for up to 50% client-site travel. Sourced from Plank FDE census (CC BY 4.0). Groq staffs FDEs through a rolling talent pool rather than a standing req — submit your resume to the Groq Talent Community and they reach out when a role opens.
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