Groq
1 open Forward Deployed Engineer role at Groq. Curated with comp bands.
Comp on the board: $143.6K–$289.1K.
On the board since Jul 2026 · still hiring
Our take
Why Groq
One of the few FDE seats on the chip side of the inference war — deploy on the LPU, not the model.
- FDE type
- Solutions engineering
- Travel
- High
- Comp
- Competitive
- Stage
- Growth-stage
A good fit if you're…
- Engineers who love low-level inference and performance work
- People who want a startup-CTO scope inside customer orgs
- Those betting on custom silicon over general-purpose GPUs
What they do
Groq designs the LPU, a custom inference chip, and sells access to it as a fast, cheap serving layer for LLMs. It competes on inference latency and cost rather than on training frontier models.
What “forward deployed” means here
Groq frames the job as ‘a hands-on AI startup CTO’ — you deploy and optimize inference on the LPU stack inside customer organizations, up to 50% travel. It is genuine embedded solutions work with a hardware edge most FDE roles never touch.
Comp & leveling
The band is $143.6K–$289.1K plus equity — competitive for the tier but below the frontier-lab FDE seats, with the upside living in the equity of a company betting on custom silicon. The Mountain View / Remote (US) split makes it one of the more location-flexible seats.
Growth signals
Groq has raised heavily and is scaling its inference cloud, but it competes against NVIDIA's ecosystem and a field of inference startups. The FDE motion is how it proves the chip in production, which makes these seats strategically central.
Analysis updated 2026-09-11
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